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  • Microsoft Releases Dialogue Dataset to Make Chatbots Smarter

    Maluuba, a Microsoft company working towards general artificial intelligence, recently released a new open dialogue dataset based on booking a vacation - specifically, finding flights and a hotel.

    Source: Infoq
    21288
  • The best Data Science courses on the internet, ranked by your reviews

    A year and a half ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master's program using online resources.

    Source: Medium
    44400
  • Cognizant's Chief Technology Officer Says Leveraging Artificial Intelligence and Machine Learning is About Translating Algorithmic Business into Data Science

    "Artificial intelligence (AI) and machine learning (ML) have rapidly matured over the years and are already the norm in many fields, helping companies deploy smart systems of engagement to improve efficiency, enhance security, gain insights, and deliver superior customer experiences," writes Aan Chauhan.

    Source: Congnizant
    12768
  • The 9 Best Free Online Big Data And Data Science Courses

    Demand for skilled data scientists continues to be sky-high, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.

    Source: Forbes
    30096
  • Alteryx expands product set, makes data science acquisition

    Alteryx, fresh off its IPO, introduces Alteryx Connect, a data catalog/governance product based off its previously undisclosed acquisition of Semanta. Alteryx is also announcing its acquisition of Yhat, a startup specializing in data science development, management, and deployment.

    Source: ZDnet
    9537
  • Microsoft Upgrades Windows-Based Data Science Virtual Machine

    Microsoft's cloud-based virtual machine for big data analytics is now available in a version running on Windows Server 2016.

    Source: Eweek
    10131
  • The Difference Between Data Science and Data Analytics

    Data science and data analytics: people working in the tech field or other related industries probably hear these terms all the time, often interchangeably.

    Source: Insidebigdata
    22992
  • 18 New Books for Data Scientists, Machine Learning, on R and Python Must Read!

    Understanding machine learning & data science is easy. There are numerous open courses which you can take up right now and get started. But, acquiring in-depth knowledge of a subject requires extra effort.

    Source: HOB Team
    30327
  • The 10 Algorithms Machine Learning Engineers Need to Know

    Machine learning algorithms can be divided into 3 broad categoriesā??-ā??supervised learning, unsupervised learning, and reinforcement learning.

    Source: kdnuggets
    12327
  • Why AI Would Be Nothing Without Big Data

    Artificial Intelligence (AI) is one of the most transformative forces of our times. While there may be debate whether AI will transform our world in good or evil ways, something we can all agree on is that AI would be nothing without big data.

    Source: Forbes
    10755
  • Learning Data Science on R - Step by Step Guide Learning Path

    One of the common problems people face in learning R is lack of a structured path. They don't know, from where to start, how to proceed, which track to choose?

    Source: Analytics Vidya
    29067
  • Get a high-paying data science job and certification for under $50

    Data science is just that - science. Specially trained individuals well-versed in how to break down big data sets and interpret their meaning are in high demand.

    Source: TNW
    10008
  • Have we bridged the gap between Data Science and DevOps?

    How do Data Science and DevOps fit together? In this article, Richard Gall explains why integrating Data Science with your DevOps can lead to a better and smarter business.

    Source: jaxenter
    9960
  • 6 best places to learn data science fast

    The skills of data experts are becoming outdated as the industry evolves. If you're looking to learn data science - quickly - then you're in luck.

    Source: jaxenter
    9324
  • Top 15 Python Libraries for Data Science in 2017

    Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.

    Source: Kdnuggets
    14181
  • Enhancing Google Maps with Deep Learning and Street View

    Google's Ground Truth team recently announced a new deep learning model for the automatic extraction of information from geo-located image files to improve Google Maps.

    Source: Infoq
    13146
  • Why Data Science Argues Against a Muslim Ban

    Some people have relied on "common sense" to brand an entire religion as dangerous-but rigorous analysis proves they're wrong

    Source: Scientific American
    8520
  • 3 Massive Big Data Problems Everyone Should Know About

    Today, Big Data gives us unprecedented insights and opportunities across all industries from healthcare to financial to manufacturing and more. But, it also raises concerns and questions that must be addressed.

    Source: Forbes
    9750
  • The One Thing that Makes a Great Data Leader

    What's the one thing that makes a great data leader?

    Source: Data-informed
    8778
  • Data Scientist: Learn the Skills you need for free

    Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.

    Source: KDnuggets
    11496
  • 10 Free Must-Read Books for Machine Learning and Data Science

    Spring. Rejuvenation. Rebirth. Everything's blooming. And, of course, people want free ebooks. With that in mind, here's a list of 10 free machine learning and data science titles to get your spring reading started right.

    Source: KDnuggets
    11691
  • Get started in data science: 5 steps you can take online for free

    From gaining the right skills to acing your first interview, these resources can help put you on the right track

    Source: PCworld
    9753
  • 3 immutable qualities of successful data science

    Data scientists in the marketing world have something in common with the nerd characters on police-procedural TV shows, according to speakers at a DigitasLBi-hosted event in Singapore last week.

    Source: Campaign Asia
    9000
  • Open collaboration key for data science to mature into a technology

    As data analytics matures from a science into a technology, companies are shifting their focus toward making products out of the advanced models generated by their data science organizations.

    Source: A silicon ANGLE
    10098
  • Big challenges for the Data Science Campus

    Interview: Tom Smith, managing director of the new body in the Office of National Statistics, says it can do a lot to support policy makers in understanding complex issues

    Source: ukauthority
    9285
  • Artificial intelligence and privacy engineering: Why it matters NOW

    The growth of AI and large data sets pose great risks to privacy. Two top experts explain the issues to help your company manage this crucial part of the technology landscape.

    Source: ZDnet
    9354
  • Data Science Terminology: 26 Key Concepts Everyone Should Understand

    Data science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data.

    Source: Data Informed
    17028
  • The Machine Learning Algorithms Used in Self-Driving Cars

    Machine Learning applications include evaluation of driver condition or driving scenario classification through data fusion from different external and internal sensors. We examine different algorithms used for self-driving cars.

    Source: KDnuggets
    17496
  • How Data Science Helps Us Ask The Right Questions: And Why IBM Never Became The King of Photocopies

    Leaders sometimes ask questions that get in the way of solving the problem that really matters to them. We can learn a lot from a real-life example of two business titans.

    Source: Forbes
    9102
  • Harvard launches data science master's degree program

    Harvard will offer a Master of Science (SM) degree in Data Science beginning in fall of 2018. The new degree, under the joint academic leadership of the faculties of Computer Science in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), and of Statistics in the Faculty of Arts and Sciences (FAS), will train students in the rapidly growing field of data science.

    Source: HBR
    16974
  • Julia Computing raises $4.6 mn in seed round

    US- and Bangalore-based Julia Computing, a provider of open source language for data science and machine learning, has received $4.6 million (Rs 30 crore) in seed funding from US-based investment firms General Catalyst and Founder Collective.

    Source: VCC
    22665
  • How to hire a great Data Scientist?

    Data Science is a comparatively new domain which most of us is not thorough with, agreed?

    Source: Aircto
    9255
  • Top 5 Python IDEs For Data Science

    IDE stands for Integrated Development Environment. It's a coding tool which allows you to write, test and debug your code in an easier way, as they typically offer code completion or code insight by highlighting, resource management, debugging tools

    Source: Datacamp
    25536
  • How to build a data science pipeline

    Start with y. Concentrate on formalizing the predictive problem, building the workflow, and turning it into production rather than optimizing your predictive model. Once the former is done, the latter is easy.

    Source: medium
    11664
  • Get Started Learning Python for Data Science with "Unpacking NumPy and Pandas"

    Since February I have been working on a video course with Packt Publishing, and the course is now published.

    Source: NTguardian
    14760
  • Artificial Intelligence Goes Hand in Hand with Cybersecurity

    The cyberthreat landscape evolves at breakneck speed. While cybercriminals are able to compromise a system in hours or minutes, the reaction of companies usually takes months or even years.

    Source: Pandasecurity
    18075
  • Alibaba: Building a retail ecosystem on data science, machine learning, and cloud

    What does it take to compete in a global arena in which retail and cloud are increasingly intertwined? Domain-specific data science and machine learning for the masses, according to Alibaba.

    Source: ZDnet
    14037
  • You Can Get A Data Analytics Job Without A Masters In Data Science

    A lot of people reach out to me. They needs jobs. But they are asking about school.

    Source: Forbes
    9573
  • DataScience.com Partners with The Data Incubator to Deliver Enterprise Data Science Curriculum

    DataScience.com customers can now benefit from The Data Incubator's comprehensive data science training in the DataScience.com Platform.

    Source: Global Newswire
    10323
  • Data scientists are in demand on Wall Street. Here's what you need to know to land a job

    Most industries are struggling to find data science expertise, but Wall Street especially has particularly keen to hire in this area. Data has always been a big part of the finance industry, and over the last few years, top financial services firms have ramped up their spending, investing millions of dollars to recruit and train data scientists.

    Source: Efinancial Career
    9282
  • The Robots are Coming: Is AI the Future of Biotech?

    AI, or artificial intelligence, has taken root in biotech. In this article, a contributor explores its newfound niches in the industry.

    Source: Labiotech
    19482
  • Upcoming Meetings in Analytics, Big Data, Data Science, Machine Learning: July and Beyond

    Coming soon: 61st World Statistics Congress Marrakech, TDWI Anaheim, ICML Sydney, KDD-2017 Halifax, JupyterCon NYC, Big Data Innovation Summit Boston, and many more.

    Source: KDnuggets
    21648
  • Deep Learning with Python and Keras

    This course created by Data Weekends, Jose Portilla, and Francesco Mosconi is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.

    Source: Medium
    21414
  • 6 online data science courses to launch your career

    Want to be a data scientist? Third-level institutions and full-time education aren't the only way you can learn essential data science skills.

    Source: Siliconrepublic
    14868
  • Without communication, machine learning for data science goes nowhere

    The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.

    Source: Techtarget
    13812
  • A beginner's guide to building a data science team

    So, you want to build a data science team? Here's some stuff to think about. Before long, just like this stock photo, you'll have a team of weird orange people with big bulbous heads, who can sit around a table looking at an enormous hologram of a simple bar chart.

    Source: Econsultancy
    14058
  • How AI Fits into Your Data Science Team

    In their HBR Big Idea feature, Erik Brynjolfsson and Andrew McAfee argue that AI and machine learning will soon become "general-purpose technologies," as significant as electricity or the internal combustion engine. They represent a landmark change in our technical capabilities and will power the next wave of economic growth.

    Source: HBR
    16377
  • Artificial Intelligence Is Stuck. Here's How to Move It Forward

    Artificial Intelligence is colossally hyped these days, but the dirty little secret is that it still has a long, long way to go. Sure, A.I. systems have mastered an array of games, from chess and Go to "Jeopardy" and poker, but the technology continues to struggle in the real world. Robots fall over while opening doors, prototype driverless cars frequently need human intervention, and nobody has yet designed a machine that can read reliably at the level of a sixth grader, let alone a college student. Computers that can educate themselves - a mark of true intelligence - remain a dream.

    Source: NY Times
    10473
  • How to shift your career towards data science, fast

    Data science is complex. Let us help break it down for you in this bundle where you can learn everything a data scientist needs to know before jumping into it as a career.

    Source: Techrepublic
    9000
  • Data Science Can Help Us Fight Human Trafficking

    July 30 marks the United Nations' World Day Against Trafficking in Persons, a day focused on ending the criminal exploitation of children, women and men for forced labor or sex work

    Source: Scientificamerican
    8829
  • Influencer Marketing And The Power of Data Science

    In recent years, influencer marketing has established itself as a highly-effective method for brands to build and engage with audiences on social media. It is well-documented that influencers and their authentic content creation can help brands grab the attention of consumers and gain their trust, but the question has remained: Does influencer marketing actually directly impact sales at scale?

    Source: Forbes
    9186
  • Learn these 3 languages now if you want to become a data scientist

    Demand for developers with data science skills continues to grow. Here's what you need to learn to break into a career in the field.

    Source: Techrepublic
    9444
  • How to get your first job as a data scientist.

    Many aspiring data scientists focus on doing Kaggle competitions as a way to build their portfolios. Kaggle is an excellent way to practice, but it should only be one of many avenues you use to work on data science projects.

    Source: Dataquest
    8760
  • The Future of Machine Learning and Data Science

    Machine Learning and AI are often heralded as the future of, well, every industry ever. But what about the future of Machine Learning itself? Sebastian Raschka, applied machine learning and deep learning researcher at Michigan State University and the author of Packt's best-selling book Python Machine Learning, takes a look at what's changed the most in the last few years and what's next on the horizon - here's a hint, it's not robots taking over the world.

    Source: CBR
    11859
  • How AI, Machine Learning & Big Data are Affecting the Legal Industry

    As the integration of Artificial Intelligence, Machine Learning and Big Data in the workplace is becoming the new norm, concerns are increasing over how the technology could affect employee performance, job security and the adaptation and reliance of technology in the legal industry.

    Source: Inside Counsel
    9882
  • Data science consortium at University of Rochester could create 184 jobs

    Citing the need for jobs of the future, Gov. Andrew Cuomo on Thursday announced $22.5 million in state support for the creation of a Rochester Data Science Consortium on the University of Rochester campus.

    Source: Democratandchronicle
    9336
  • 35,000 Jobs on offer with state's own data science, Artificial Intelligence hub

    The state government on Wednesday announced it will establish a Centre of Excellence for Data Science and Artificial Intelligence (CoE-DS&AI), with Nasscom as the programme and implementation partner.

    Source: ET Tech
    13218
  • Why Artificial Intelligence Will Stimulate Demand For Skilled Thinkers

    There are many differing opinions on the impact of artificial intelligence (AI) on our worklives, from dazzling to dystopian.

    Source: Forbes
    18867
  • Razorthink Delivers First Deep Learning Data Science Automation Platform

    Razorthink Inc., an innovator in Artificial Intelligence Data Science for the Enterprise, today announced Razorthink Big Brain, the first Deep Learning Data Science Platform that automates the data preparation, modeling, evaluation and deployment of Deep Learning solutions at scale. With Razorthink Big Brain, organizations can quickly generate Expert AIs that supercharge their data science efforts with superior big data predictive analytics and help businesses avoid blind spots by 'knowing what they don't know.'

    Source: Globe News Wire
    10047
  • How Clue is using data science to revolutionise female health

    Data science is a vast, fascinating field. Analysis of datasets can be applied to multitudes of areas to improve people's quality of life. It would be difficult to find a better application of data science changing people's lives than Berlin-based menstrual and ovulation tracker Clue.

    Source: Silicon Republic
    9576
  • Why Data Science Is Such A Hot Career Right Now

    Of course, this follows the basic laws of economics - supply and demand. The demand for data science is very high, while the supply is too low.

    Source: Forbes
    12963
  • Not Every Problem Is A Machine Learning Problem: Why Diversity Matters In Data Science Teams

    Businesses need to look for a diverse range of backgrounds, skills and experiences when hiring their analytics teams.

    Source: Which-50
    14967
  • Neuromation interview - Blockchain for Artificial Intelligence

    An Interview with Sergey Nikolenko, Chief Scientist of Neuromation, a Blockchain for Artificial Intelligence company.

    Source: Nextbigfuture
    16416
  • How is Machine Learning Being Applied to Cybersecurity?

    What is the role of machine learning in cyber security or networking security? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: Huffingtonpost
    7509
  • How is Machine Learning Being Applied to Cybersecurity?

    What is the role of machine learning in cyber security or networking security? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: Huffingtonpost
    12120
  • The great data science hope: Machine learning can cure your terrible data hygiene

    Data lakes didn't quite pan out so now it's all about an abstraction layer and machine learning to save the day. Hopefully, machine learning can cleanse your data on the fly since humans have proved repeatedly they aren't meticulous enough.

    Source: ZD Net
    11283
  • It's not data science but this one surprised me a bit: on Golang

    While quick and dirty Google Trends is definitely not data science it can be useful for a sniff test. I was working on a client project today, when I thought I would look at search interest over time. Rails- weĆ?Ā¢??d expect to be tailing off a bit.

    Source: Enterprise Irregulars
    19923
  • The Myth of Entry-level Data Science

    In this special guest feature, Kevin Safford, Sr. Director of Engineering for Umbel offers a no-nonsense look at how to answer the proverbial question "How can I become a data scientist." To understand how to become a data scientist, it's best to get on the same page on what data science is.

    Source: Inside Bigdata
    14991
  • Machine learning and big data: a new dimension in online banking security

    Machine learning and big data are having a positive impact on customer experience, as well as producing extensive benefits for banks.

    Source: Information Age
    14043
  • Tech has a big talent gap, and companies are hiring philosophy majors, says the CEO of CA Technologies

    Tech is facing a talent gap, in the absence of formal data science degrees at major universities. The assumption that only computer science majors have a place in the new economy is a "very shallow view," CA Technologies CEO Mike Gregoire said.

    Source: CNBC
    15057
  • Making sense of data

    Given that data was held in such high regard even in the late 19th century, it is no surprise that this would be the case in the age of Internet and information overload. In fact, simply having data will no longer cut it; you need to know how to interpret it and how to derive actionable insights from it.

    Source: The Hindu
    8961
  • Using data to stay ahead of the herd

    Coupled with technology, data can transform the way businesses operate to stay ahead of their competitors.

    Source: Daily Nation
    9267
  • Your biggest threat is inside your organisation and probably didn't mean it

    It doesn't have a super-sexy moniker like KRACK or Heartbleed, but the spectre of the insider threat looms large for organisations, and has done so for as long as electricity, silicon, and computing have been paired up to store information.

    Source: ZDNet
    8862
  • Data Science Startup Accern Raises $2.1 Million In Pre-Series A Funding

    Accern, a New York-based data science start-up has today closed a $2.1 million Pre-Series A funding round led by private investors, including 26 Ventures' Managing Partner, Moshe Neuman.

    Source: Forbes
    8874
  • Obama's former chief data scientist, DJ Patil, joins Venrock as an adviser

    DJ Patil, the chief data scientist under President Barack Obama, has joined Venrock Capital as an adviser. Patil has long been a proponent of using data science and artificial intelligence to solve some of the nation's biggest problems around areas including medicine, policing and the criminal justice system.

    Source: TC
    8961
  • Top 35 Demanded Courses to boost your career in 2018-20

    Really you want to upgrade your skills with the best Data Analytics, Development courses, to stand out in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.

    Source: HOB Team
    12054
  • Top 35 Demanded Skills to boost your career in 2018-20

    Really you want to upgrade your skills with the best Data Analytics , Development courses , to standout in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.

    Source: HOB Team
    27768
  • LinkedIn's hottest emerging IT careers: Machine learning, data science and big data

    Healthcare outpaced all other industries in job growth for freelancers while finishing second to staffing when it comes to non-freelancers.

    Source: Health Care IT News
    16485
  • Big Data & Artificial intelligence, both need each other

    Artificial intelligence and big data have formed a truly symbiotic relationship, and they need each other to ring to fruition what both are promising. If there are any lingering doubts that the fates of artificial intelligence and big data are intertwined, consider these recent quotes from two highly regarded thought leaders in this space:

    Source: RTInsights
    6834
  • Big Data & Artificial Intelligence, both need each other

    Artificial intelligence and big data have formed a truly symbiotic relationship, and they need each other to ring to fruition what both are promising. If there are any lingering doubts that the fates of artificial intelligence and big data are intertwined, consider these recent quotes from two highly regarded thought leaders in this space:

    Source: RTInsights
    13269
  • Artificial intelligence may be the future, but its not immune to human bias

    Artificial intelligence is starting to impact nearly every aspect of our daily lives. Machine-learning algorithms, the technology behind contemporary AI, determine what content appears on our Facebook feed and what results are returned when we conduct a Google search. They power product recommendations on Amazon and Netflix, determine airline or event ticket pricing, and influence who receives marketing communications based on likelihood to buy a new product or cancel a service.

    Source: Maclean's
    11013
  • How to Become a Data Scientist Without a Certification and Degree

    In the tech industry, new skills and roles emerge faster than traditional education can keep up with. A recent example is the field of data science and the associated profession, Data Scientist.

    Source: Codementor
    53694
  • Why Data Visualization Is The Priority For Visualizing The Data Of The Company?

    Data visualization is the presentation of quantitative information in a graphical form. In other words, data visualizations turn large and small datasets into visuals that are easier for the human brain to understand and process.

    Source: HOB
    19296
  • India Wants To Go All In On AI, But Must First Tackle Shortage Of Talent And Data

    Artificial intelligence (AI) and its subset, cognitive computing, have been subject to a fair share of debates, with concerns around machines overtaking, or maybe even replacing, the human workforce.

    Source: Forbes
    12840
  • Accenture Open House: AI, Data Science & Big Data

    Accenture hosted an AI, Data Science & Big Data Open House at The Dock to showcase the data and analytics work it does, and open up a discussion about the challenges it faces in finding data-driven solutions.

    Source: Silicon Republic
    11841
  • Why data science is a secret weapon for tech consultants

    Consultants who partner with data scientists can use the power of big data to help sell their expert advice. Find out pitfalls to avoid in this partnership.

    Source: Tech Republic
    17697
  • 10 predictions for deep learning in 2018

    The incredible breakthroughs we saw in 2017 for deep learning will carry over in a very powerful way in 2018.

    Source: venturebeat
    10515
  • How an A.I. ā??cat-and-mouse gameā?? generates believable fake photos

    Like other prominent AI researchers, the Nvidia team believes the techniques that drive this project will continue to improve in the months and years to come, generating significantly larger and more complex images.

    Source: economictimes.indiatimes.com
    6327
  • How an A.I. "cat-and-mouse game" generates believable fake photos

    Like other prominent AI researchers, the Nvidia team believes the techniques that drive this project will continue to improve in the months and years to come, generating significantly larger and more complex images.

    Source: ET
    11592
  • What Jobs Can Machine Learning Replace?

    A new article in Science talks about the impact of machine learning advancements on labor demands and the economy.

    Source: newsclick
    14004
  • The Data Science Diversity Gap

    How diverse will a lucrative, growing field like data science be in the future?

    Source: Forbes
    15522
  • Is Data Science Too Easy?

    Is data science too easy? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: Forbes
    11388
  • How to choose internship in undergrad for a data science career

    The answer to this question depends to a great extent on the role/industry/company combination. However, there are few general remarks that can be made. To start with, it is very important to complete an internship rather than do an "ML related summer research project" unless that research is done with respect to a lab at a university

    Source: HOB
    11391
  • Data Science And Machine Learning Jobs Most In-Demand On LinkedIn

    Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. Data scientist roles have grown over 650% since 2012.

    Source: Enterprise Irregulars
    10911
  • Data Science And Machine Learning Jobs Most In-Demand On LinkedIn

    Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn.

    Source: Linkedin Blog
    17829
  • ARTIFICIAL INTELLIGENCE APOCALYPSE: Scientists simulate superintelligence in video game and the AI takes over

    "Han the Robot" waits on stage before a discussion about the future of humanity in a demonstration of artificial intelligence at the RISE Technology Conference in Hong Kong on July 12, 2017. A new simulation of advanced AI reveals what society might look like if a superintelligence is introduced.

    Source: Newsweek
    12945
  • Artificial Intelligence: What Educators Need to Know

    As AI makes more resources more widely available, we will find less meaning in material wealth and more value in the activities that are uniquely human.

    Source: Edweek
    9585
  • B2B specialist Previse to create 37 data science jobs in Glasgow

    A start-up specialising in business-to-business payments is to open a development centre in Glasgow, creating 37 data science jobs in the process.

    Source: Scotman
    10098
  • Harnessing the Power of Data: Q&A with a Chief Data Scientist

    Bennett Borden, chief data scientist at the Philadelphia firm of Drinker, Biddle & Reath, discusses his take on the evolution of legal analytics.

    Source: Law.com
    8793
  • SAS India and NMIMS announce new distance learning management programs

    The program is the first-of-its-kind that offers industry-recognized certification in Management Program in Data Visualization and Executive Program in Big Data and Machine Learning.

    Source: Aninews
    10203
  • 7 Stocks to Profit from Artificial Intelligence

    Over the next decade, artificial intelligence will have a profound impact on all industries, introducing efficiencies and innovative catalysts.

    Source: Morningstar
    8847
  • Machine Learning, Imaging Analytics Predict Kidney Function

    Imaging analytics backed by machine learning can accurately predict renal survival time in patients with chronic kidney disease.

    Source: Healthitanalytics
    10746
  • How AI will impact your IT career

    Artificial intelligence and machine learning are eating up workloads at IT help desks, in cybersecurity, and other IT tasks, stirring significant concern over the long-term impact AI will have on jobs even in the IT industry.

    Source: Itworld
    10812
  • How Data Protection Platforms Can Power A New Generation Of Apps, AI And Data Science

    Data protection platforms are a key element of data supply chains.Yet data supply chains present unique challenges.

    Source: Forbes
    13056
  • Bowling For AI: Booz Allen Hamilton And Kaggle Launch Data Science Bowl 2018

    Anyone who is plugged into the tech world knows that AI and big data is big business right now. Our technological ability to process and analyze large troves of data grows every year, unlocking new doors at every turn.

    Source: Forbes
    16647
  • Machine Learning Engineers and Data Scientists Report Highest Job Satisfaction Among Data Professionals

    Results from the Kaggle State of Data Science and Machine Learning survey of data professionals revealed that job satisfaction varies widely across job titles. Data professionals who reported the highest level of job satisfaction were: 1) Machine Learning Engineers, 2) Data Scientists and 3) Predictive Modeler. Data professionals who reported the lowest level of job satisfaction were: 1) Engineers, 2) DBA/Database Engineers and 3) Programmers.

    Source: Customerthink
    26583
  • DATA SCIENTIST: YES, YOU CAN GET 'THE SEXIEST JOB OF THE 21ST CENTURY'

    It's been a decade since D.J. Patil, LinkedIn's former head of data products, coined the term "data science." And already there are thousands of data scientists working in different companies.

    Source: Techgenix
    23976
  • How to survive your data science interview

    Interviews are scary as shit. You sit across the table from someone who has the power to grant you income and measure of security. They hold your future in their hands. You have to make them like you, trust you, think you are smart.

    Source: Github.io
    19461
  • IIT In India Is The Best For Research In Machine Learning and Data Science? You must know

    It is a question that perplexes many an upcoming research student - which IIT is best suited for machine learning and data science research. Globally and on home turf, IITs are recognized as Tier-1 engineering institutions that produce a steady stream of talent in computer science, software engineering, Database and Information Systems and other related domains.

    Source: HOB
    29838
  • Artificial Intelligence pitch by KTR at Davos

    Artificial Intelligence (AI) should be used to solve local problems with the help of global technology, said IT minister KT Rama Rao. The minister, who headed a delegation at the World Economic Forum (WEF) 2018, spoke at a session on "Global Tech and Local Solutions: Artificial Intelligence" in Davos on Friday.

    Source: TOI
    22386
  • 100,000 People Will Attend Global Women in Data Science Conference

    The biggest event on the data science community calendar is the one that showcases women in the field.

    Source: Forbes
    9156
  • Top 10 Hot Platforms and Resources to Learn Data Science Skills

    A recent survey of over 16,000 data professionals showed that the most used platforms/resources included Kaggle, Online courses and Stack Overflow Q&A.

    Source: Businessoverbroadway
    20535
  • Coursera Announces Six New Masters and Bachelors Degrees in Computer Science, Data Science, and Public Health from Top Universities

    University of Michigan-Ann Arbor, University of London, University of Illinois-Urbana Champaign, Imperial College London, and Arizona State University partner with Coursera to build online degrees of the future

    Source: Business Wire
    21405
  • India's tech workers, students are betting on data for a better career

    Coders and job aspirants alike are making a beeline to data science training shops in Bengaluru and Hyderabad, and to open online courses, in the hopes of updating their skills and landing jobs with comfortable salaries. But is the training enough?

    Source: Livemint
    10428
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error. Data Science is everywhere and here is the rescue for how to be a data scientist.

    Source: HOB
    22767
  • Get a high-paying job in data science by mastering Machine Learning

    Data science is one of the most lucrative fields to work in today. Learn the basics and get a fatter paycheck with this machine learning class.

    Source: Dailydot
    13896
  • Data science jobs make the big bucks, and these tools can help you get one

    We live in a world with unprecedented amounts of stats, facts, and figures, and it's slightly overwhelming. And in order to make that data useful, companies need to hire analysts who know how to sift through it and find meaningful patterns. According to GlassDoor, a typical data scientist earns about $120,000 per year, meaning this is the kind of career that can get you living that good life.

    Source: Mashable
    14085
  • Popular Python Data Science Platform Anaconda Now Shipping with Microsoft VS Code

    Release 5.1 of Anaconda, the data science and machine learning platform, now includes Visual Studio Code as an IDE. This is part of a wider collaborative effort between Anaconda Inc. and Microsoft.

    Source: Infoq
    28938
  • 109 Commonly Asked Data Science Interview Questions

    Preparing for an interview is not easy - naturally there is a large amount of uncertainty regarding the data science interview questions you will be asked. No matter how much work experience or technical skill you have, an interviewer can throw you off with a set of questions that you didn't expect. For a data science interview, an interviewer will ask questions spanning a wide range of topics, requiring strong technical knowledge and communication skills from the part of the interviewee. Your statistics, programming, and data modeling skills will be put to the test through a variety of questions and question styles - intentionally designed to keep you on your feet and force you to demonstrate how you operate under pressure. Preparation is a major key to success when in pursuit of a career in data science.

    Source: Springboard
    36855
  • What programming language should aspiring data scientists learn?

    It's undeniable-data science is one of the fastest growing fields in the world today, and shows no signs of slowing down. Because of that, it's becoming increasingly important to study and understand the professionals who make up this field, and the ways they navigate it.

    Source: Springboard
    34863
  • 6 predictions for data science in 2018

    LinkedIn's 2017 U.S. Emerging Jobs Report-fittingly created with the power of data science-lists data science roles as one of the top emerging positions in the U.S. today, with 6.5X growth over the last five years.

    Source: Springborad
    11949
  • Lets Prepare Data Scientist Interview Know how to do!

    Cracking any interview requires preparation and in the case of data science it is not restricted to performing well on the big day alone. An aspiring data scientist is expected to prepare across multiple fronts. Here, we provide you with a insight into the levels of preparation required and how to go about it.

    Source: HOB
    17460
  • Eleven Free Books On Machine Learning & Data Science

    It's as good a time as any to keep yourself updated - especially for those who are in the ever-changing technology field. If you're interested in, or working as a professional in Data Science, Machine Learning and allied fields, we've compiled a list of top 11 books that are available free that you must catch up on gloomy rainy days.

    Source: HOB
    26115
  • A Majority of Data Scientists Lack Competency in Advanced Machine Learning Areas and Techniques

    Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by Kaggle, however, revealed that a limited number of data professionals possess competency in advanced machine learning skills.

    Source: Businessover broadway
    24393
  • Bertelsmann offers 15,000 scholarships for Udacity's Online Data Science Course

    In a joint initiative with Google and Udacity, Bertelsmann, the international media, services and education company, is inviting the people 18 and older to apply for its "Udacity Data Science Scholarship Program," in which the company will provide 15,000 three-month Udacity online courses in descriptive statistics.

    Source: HOB
    24864
  • The Best Advice From Quora on 'How to Learn Machine Learning'

    Top machine learning writers on Quora give their advice on learning machine learning, including specific resources, quotes, and personal insights, along with some extra nuggets of information.

    Source: kdnuggets.
    58359
  • 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more

    Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science

    Source: Kdnugget
    55959
  • Here's Who Made Gartner's 2018 Magic Quadrant For Data Science And Machine Learning

    Machine Learning, The New Frontier In Data Science The ability to draw insight from massive streams of data is becoming a competitive differentiator for enterprises. Gartner evaluated software vendors offering products that allow development and deployment of the data science workloads that deliver that insight.

    Source: CRN
    16059
  • The Two Sides of Getting a Job as a Data Scientist

    Are you a Data Scientist looking for a Job? Are you a Recruiter looking for a Data Scientist? If you answered yes or NO to this questions you need to read this.

    Source: Kdnugget
    15309
  • 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

    Nothing takes the place of meaningful and substantive study, but these cheat sheets (that's really not a great term for them) are a handy reference in a pinch or for reinforcing particular ideas. All images link back to the cheat sheets in their original locations.

    Source: Kdnugget
    40653
  • Top 10 Free Must-Read Books for Machine Learning and Data Science

    What better way to enjoy this spring weather than with some free machine learning and data science ebooks? Right? Right? Here is a quick collection of such books to start your fair weather study off on the right foot. The list begins with a base of statistics, moves on to machine learning foundations, progresses to a few bigger picture titles, has a quick look at an advanced topic or 2, and ends off with something that brings it all together. A mix of classic and contemporary titles, hopefully you find something new (to you) and of interest here.

    Source: Kdnugget
    41778
  • Top 15 Scala Libraries for Data Science in 2018

    For your convenience, we have prepared a comprehensive overview of the most important libraries used to perform machine learning and Data Science tasks in Scala.

    Source: Kdnugget
    14499
  • 5 Career Paths in Big Data and Data Science, Explained

    Are you looking to get a real handle on the career paths available in "Data Science" and "Big Data?" Read this article for insight on where to look to sharpen the required entry-level skills.

    Source: Kdnugget
    22377
  • 5 Things to Know Before Rushing to Start in Data Science

    Strong math understanding, computing skills, critical thinking and presentations skills provide a strong foundation for a career in Data Science.

    Source: Kdnugget
    8985
  • 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning

    For the 2018 international women's day, we profile 18 inspiring women who lead the field in AI, Analytics, Big Data , Data science, and Machine Learning areas.

    Source: Kdnugget
    18933
  • Different Roles In Data Science & Analytics

    The best jobs right now in the planet include titles like data scientist, data engineer, and business analyst. Yet too often, employers find it hard to acquire the right person for a job. There is a persisting gap between the skills possessed by the current or the emerging workers and the abilities required by the business.

    Source: HOB
    24732
  • 91 job interview questions for data scientists

    We are now at 91 questions. We've also added 50 new ones here, and started to provide answers to these questions here. These are mostly open-ended questions, to assess the technical horizontal knowledge of a senior candidate for a rather high level position, e.g. director.

    Source: DSC
    25575
  • Is Python the most popular language for data science?

    Data has emerged as the new oil. Enterprise success now hinges on the ability to extract insights from the unprecedented flow of data. This is where data science serves its purpose to help enterprises see meaning out of information and make strategic decisions.

    Source: Marutitech
    13776
  • Israel Approves Launching of Big Data Health Project

    The cabinet of Israel on Sunday approved a $264.5 mn nationwide program, which will span over five years to make health data about its population accessible to private companies and researchers.

    Source: HOB
    14445
  • 50 Questions to Test True Data Science Knowledge

    This was the subject of a popular discussion recently posted on Quora: 20 questions to detect a fake data scientist. We asked our own data scientist, and he came up with a very different set of questions: compare his answer (#1 below - 20 questions) with Quora replies (#2 and #3 below - 30 questions). Note that #2 focuses on statistics, and #3 on architecture. The link to the original Quora discussion is also provided in this article. Which questions would you add or remove?

    Source: DSC
    24132
  • Want to Become a Data Scientist? Read This Interview First

    There's been a lot of hype about Data Science... and probably just as much confusion about it.

    Source: Kdnugget
    31791
  • IBM Unveils New Cloud for Data Science and Engineering

    IBM has showcased its new cloud offering called Cloud Private Data that has been designed to assist businesses make use of ML and data science techniques.

    Source: HOB
    17925
  • Ranking Popular Distributed Computing Packages for Data Science

    We examined 140 frameworks and distributed programing packages and came up with a list of top 20 distributed computing packages useful for Data Science, based on a combination of Github, Stack Overflow, and Google results.

    Source: Kdnugget
    17898
  • Top 10 Algorithm Categories For A.I., Big Data, And Data Science

    ARE ALGORITHMS taking over our jobs? Yes, yes they are... and that a good thing. With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.

    Source: Bizcatalyst360
    12531
  • Infosys invests $1.5 mn in Waterline Data Science through Innovation Fund

    Infosys has made an investment of $1.5 mn in Waterline data science, a provider of data discovery and data governance software.

    Source: HOB
    8331
  • 100 Asked Data Science Interview Questions and Answers for 2018

    Hone yourself to be the ideal candidate at your next data scientist job interview with these frequently asked data science interview questions. Data Scientist interview questions asked at a job interview can fall into one of the following categories -

    Source: Dezyre
    44298
  • 2018 Data Science Interview Questions for Top Tech Companies

    Data Science has become an integral part of making crucial business decisions in today's competitive market. This is one of the reasons companies are on a rampage to hire Data Scientists and qualified ones at that. The data science job interviews at companies like Facebook, Google, LinkedIn, AirBnB, Insight, Twitter, Mu Sigma have one thing in common - these interviews are tough. But we have a list of helpful data science interview questions from these companies that will help while someone is preparing to apply for the post of a Data Scientist.

    Source: HOB
    96609
  • Israel Approves Launching of Big Data Health Project

    The cabinet of Israel on Sunday approved a $264.5 mn nationwide program, which will span over five years to make health data about its population accessible to private companies and researchers.

    Source: HOB
    13209
  • 50+ Data Science in Python Interview Questions and Answers for 2018

    Python's growing adoption in data science has pitched it as a competitor to R programming language. With its various libraries maturing over time to suit all data science needs, a lot of people are shifting towards Python from R. This might seem like the logical scenario. But R would still come out as the popular choice for data scientists. People are shifting towards Python but not as many as to disregard R altogether. We have highlighted the pros and cons of both these languages used in Data Science in our Python vs R article. It can be seen that many data scientists learn both languages Python and R to counter the limitations of either language. Being prepared with both languages will help in data science job interviews.

    Source: HOB
    29214
  • Top 10 Must Read Books for Data Scientists on Python

    If you are looking to learn python than what could be a better source than taking help from books written by professionals? In order to help you with your search we have created a list of best book for python data science, so that you don't have to wait and based on your requirements you can start your learning process with best books to learn python:

    Source: Digital Vidya
    30885
  • 100 Data Science in R Interview Questions and Answers for 2018

    These articles have been divided into 3 parts which focus on each topic wise distribution of interview questions. Below are some of the questions that maybe asked during a data science interview, that is related to R programing specifically.

    Source: Dezyre
    17268
  • Cloud + Streaming Analytics + Data Science = Four Big Data Trends Now

    We will see real-time big data come to the forefront in the enterprise world this year. There is a convergence of several factors that will lead to this. Companies have increasingly begun to use cloud solutions and advanced data processing solutions in order to derive business insights for improving customer experience, optimizing operational processes and providing executives with critical data points.

    Source: HOB
    16959
  • Cloud + Streaming Analytics + Data Science = Four Big Data Trends Now

    Here are the four big data trends that will be driving change in the enterprise landscape in the coming year.

    Source: HOB
    10188
  • How Docker Can Help You Become A More Effective Data Scientist

    I wrote this quick primer so you don't have to parse all the information out there and instead can learn the things you need to know to quickly get started.

    Source: kDnugget
    18432
  • 18 New Must Read Books for Data Scientists on R and Python

    Personally, I haven't learnt as much from videos & online tutorials as much I've learnt from books. Until this very moment, my tiny wooden shelf has enough books to keep me busy this winter.

    Source: AV
    21177
  • Become a Big Data and Hadoop expert with this training

    A comprehensive course on Hadoop for just $39.

    Source: HOB
    12168
  • comparison between Data Science vs Artificial Intelligence vs Machine Learning vs Deep Learning

    In this blog, we will discuss Data Science vs Artificial Intelligence vs Machine Learning vs Deep Learning. Also, will discuss each of these individually for better understanding.

    Source: Data Flair
    42354
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error.

    Source: HOB
    23082
  • To understand big data, convert it to sound

    Researchers are working to convert massive sets of big data into unique sound patterns in order to improve anomaly detection and comprehension.

    Source: HOB
    10140
  • How NLP Enhances Marketing and Customer Experience

    Natural language processing is a technology that combines big data and artificial intelligence together and brings it to the table.

    Source: HOB
    44220
  • Flipkart Hiring: 700 Job Openings In Data Science & Other Tech Areas

    Flipkart the indian online retail giant is on a hiring spree and looking for data scientists actively in order to further their AI in India program.

    Source: HOB
    15444
  • How GDPR Affects Data Science

    Coming European GDPR directive affects data science practice mainly in 3 areas: limits on data processing and consumer profiling, a "right to an explanation" for automated decision-making, and accountability for bias and discrimination in automated decisions.

    Source: Kdnugget
    11607
  • Gartner's Top Strategic Predictions for 2018 and Beyond

    The firm's top 10 prognostications on where technology will take us include shopping in AR, corporate fitness programs, and much more.

    Source: PC Mag
    29151
  • Here's why so many data scientists are leaving their jobs

    Frustrations of the data scientist! Yes, I am a data scientist and yes, you did read the title correctly, but someone had to say it. We read so many stories about data science being the sexiest job of the 21st century and the attractive sums of money that you can make as a data scientist that it can seem like the absolute dream job.

    Source: TDS
    89667
  • Advice For New and Junior Data Scientists

    What I Would Have Told Myself a Few Years ago Two years ago, I shared my experience on doing data science in the industry. The writing was originally meant to be a private reflection for myself to celebrate my two year twitterversary at Twitter, but I instead published it on Medium because I believe it could be very useful for many aspiring data scientists.

    Source: Medium
    20784
  • The four data science skills I didn't learn in grad school (and how to learn them!)

    Before I get to the meat of this post, I want to make one thing super clear: you do not need a graduate degree to be a data scientist. Unless you're doing cutting-edge machine learning research (which, let's be honest, doesn't describe 99.9% of data scientists including me!), a degree in how to do research just isn't necessary. Anyone who tells you differently is trying to sell you something probably a data science graduate degree.

    Source: Freecodecamp
    16101
  • Machine Learning Zero-to-Hero: Everything you need in order to compete on Kaggle for the first time, step-by-step!

    I recently came across Rachel Tomas's article on the importance and value of writing about what you learn, and Julia Evans's advice on why and how to write, and thus I have decided to follow their advice and write an article (for the first time ever!).

    Source: TDS
    30705
  • How To Grow As A Data Scientist

    What Skills Do You Need To Go From Jr. To Sr. Developer. The role of a data scientist still varies from company to company and even team to team. This makes it much harder for companies to create a standardized growth plan for their data scientists.

    Source: Hackernoon
    18435
  • How to get a job as a Data Scientist?

    This is a hard question to answer. Hang with me in this one (and this is not the final answer about the universe, existence and everything.

    Source: TDS
    12750
  • What is the Role of an AI Software Engineer in a Data Science Team?

    I recently joined the Enterprise Insight Studio team at Accenture's global centre for innovation in Dublin as an Artificial Intelligence (AI) Software Engineering.

    Source: TDS
    20232
  • Uncovered 1,150+ Coursera courses that are still completely free

    Are Coursera courses still free? At Class Central, I get that question so often that I wrote a guide to answer it.

    Source: Freecodemap
    17928
  • Advice for getting a job in data science: The CV

    A great CV might get you an interview. A bad CV will be thrown away!

    Source: TDS
    9948
  • Why Are Data Science Leaders Running for the Exit?

    I've had several conversations recently with people I know in the data science space that always start out about business and then drift to the state of data science as a whole.

    Source: DataScience
    16137
  • How to write a production-level code in Data Science?

    Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.

    Source: TDS
    12522
  • 1 year doing data science in the real world

    The most important lessons I've learned so far... Ok, so it's actually 14 months but it didn't have the same ring to it as "1 year". I've spent that 14 months at one company, News UK. I'm now about to embark on a new journey at Deliveroo as a consumer and growth algorithms data scientist, so I thought now would be a good time to reflect on the things that I've learned during my time at News UK.

    Source: TDS
    13554
  • 4 Things Universities Need to Know to Teach Data Science

    A new report aims to help universities shape data analytics education. Technologies that collect data for analysis exist in pretty much every aspect of life - from smart thermometers in homes to wireless sensor networks.

    Source: EdTech
    11256
  • 8 ways to perform simple linear regression and measure their speed using Python

    We discuss 8 ways to perform simple linear regression in Python ecosystem. We gloss over their pros and cons, and show their relative computational complexity measure.

    Source: Freecodemap
    12588
  • 5 Challenges Your Chief Data Officer is Likely to Face

    With data now easier to collect and analyze than ever before, companies are recognizing the business value of such information - and the need to tap into it quickly. Enter the chief data officer (CDO), the newest role in the C-suite that is responsible for defining and putting into place a data management strategy.

    Source: DataScience
    11526
  • What Getting A Job In Data Science Might Look Like

    I've read a number of articles stating how hard it was to get into Analytics and Data Science. This hasn't been my experience, so I wanted to share. We'll look at interviewing, the tools I currently use, what parts of industry I wasn't prepared for in school, and what my career trajectory has looked like. But not in that particular order.

    Source: TDS
    13590
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error. Data Science is everywhere and here is the rescue for how to be a data scientist.

    Source: HOB
    11331
  • Data Science Interview Guide

    Data Science is quite a large and diverse field. As a result, it is really difficult to be a jack of all trades. Traditionally, Data Science would focus on mathematics, computer science and domain expertise.

    Source: TDS
    21855
  • Learn Data Science for Excellence and not just for the Exams

    Are you currently pursuing your masters in Data Science? Overwhelmed with Buzzwords and Information? Don't know where and how to start your study? Then start with this article and a starter kit provided, but learn it for excellence and not just for the exams.

    Source: Kdnugget
    16566
  • Choosing the Right Metric for Evaluating ML Models - Part 1

    In the world of postmodernism, Relativism has been, in its various guises, both one of the most popular and most reviled philosophical doctrines. According to Relativism, there is no universal and objective truth; rather each point of view has its own truth. You must be wondering why I am discussing it and how it is even related to Data Science.

    Source: TDS
    23190
  • 7 Effective Methods for Fitting a Liner

    For a myriad of data scientists, linear regression is the starting point of many statistical modeling and predictive analysis projects. The importance of fitting, both accurately and quickly, a linear model to a large data set cannot be overstated.

    Source: TDS
    18543
  • I analyzed my Facebook data and it's story of shyness, loneliness, and change

    I followed the latest trend also downloaded the zip archive of my Facebook data, but what I found after analyzing the data is not the thing I was expecting.

    Source: HOB
    11874
  • "Do something interesting"

    Don't "do something interesting" with data, AI, and ML-do something human-centered

    Source: HOB
    9273
  • 15 Artificial Intelligence (AI) Stats You Need to Know in 2018

    Artificial intelligence (AI) is growing every day at a furious rate, and with it, the statistics surrounding the industry and the various industries it's revolutionizing are changing.

    Source: HOB
    19971
  • How Do I Get My First Data Science Job?

    As an organizer for a data science meetup group, I am often asked this question.

    Source: HOB
    22116
  • Considering a Data Science Bootcamps program ? Here are a few questions to ask, things to look for and look out for

    Over the past year, I have had the opportunity to speak with a lot of prospective Data Science bootcamp students sharing my pre and post bootcamp experiences and helping them put in context some of the major factors they need to consider before deciding to attend a Data Science bootcamp.

    Source: HOB
    11388
  • Details on First Data Science Job Salary

    A person new to the Data Science field details their salary and the negotiation process.

    Source: HOB
    13941
  • The 6 Best Free Online Artificial Intelligence Courses For 2018

    A basic grounding in the principles and practices around artificial intelligence (AI), automation and cognitive systems is something which is likely to become increasingly valuable, regardless of your field of business, expertise or profession.

    Source: HOB
    45801
  • 5 Reasons Why Machine Learning Models Are in Demand

    Artificial Intelligence, Blockchain and Machine Learning globally are considered to be the holy trinity of technologies. Startups, SMEs and large corporations all together are looking at the various use case of these technologies. In a recent report, TMT predictions for 2018, Deloitte identified five key developments that will lead the popularity of machine learning in the future.

    Source: HOB
    12015
  • To Learn Data Science Better, Use SCIENCE!

    If you are learning a new skill, think about HOW you are learning. My plan was to never be a student again. I like learning. I enjoy the process of learning and as a teacher and scientist, I am continuously engaged in this process.

    Source: HOB
    11379
  • How Do Machine Learning Algorithms Handle Such Large Amounts Of Data?

    How do Machine Learning algorithms handle such large amount of data in companies (or real-life cases)? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    12264
  • How I monitor and track my machine learning experiments anywhere

    I started working at www.comet.ml a few months ago, where we are building a really amazing tool for machine learning engineers. The short of it is that we help track experiments using a single line of code that automagically saves everything to make your model reproducible. You can get great experiment logging and history without being tied to a single platform.

    Source: HOB
    16320
  • Elements of Modern Data Science, AI, Big Data and ML

    I'm sure everyone who has been following tech industry news knows about "big data" and "AI." Although there is no industry-consistent definition for either term, most people tend to agree that both have been playing more and more important roles lately

    Source: HOB
    14718
  • Machine Learning with Signal Processing Techniques

    nyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.

    Source: HOB
    16272
  • My Highlights from IBM Think 2018: Data Science, SPSS, Augmented Reality and the Customer Experience

    I attended IBM's inaugural Think event in Las Vegas last week. This event, IBM's largest (estimated 30,000+ attendees!), focused on making your business smarter and included keynotes and sessions on such topics as artificial intelligence, data science, blockchain, quantum computing and cryptography.

    Source: HOB
    13116
  • Top 10 Challenges to Practicing Data Science at Work

    A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also, data professionals reported experiencing around three challenges in the previous year. A principal component analysis of the 20 challenges studied showed that challenges can be grouped into five categories.

    Source: HOB
    22722
  • Most Used Data Science Tools and Technologies in 2017 and What to Expect for 2018

    The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017.

    Source: HOB
    23832
  • Data Science Job Roles Across Organizational Levels

    Data scientists work at all levels of the organization. Our survey of data professionals revealed that Director-level data scientists have the highest level of proficiency across many data science skills and work with more of their peers compared to data scientists who are Individual Contributors, Managers or even Executives. Satisfaction with outcome of analytics projects did not differ across job levels.

    Source: HOB
    16650
  • Don't Have a Marketing Data Scientist? You Don't Know What You're Missing

    As digital marketing strategies grow more sophisticated and complex, businesses find themselves wrestling with more data than ever.

    Source: HOB
    8529
  • Top 10 Platforms and Resources to Learn Data Science Skills

    A recent survey of over 16,000 data professionals showed that the most used platforms/resources included Kaggle, Online courses and Stack Overflow Q&A. Additionally, the most useful platforms/resources included Personal Projects, Online courses and Stack Overflow Q&A.

    Source: HOB
    23292
  • A Majority of Data Scientists Lack Competency in Advanced Machine Learning Areas and Techniques

    Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by Kaggle, however, revealed that a limited number of data professionals possess competency in advanced machine learning skills. About half of data professionals said they were competent in supervised machine learning (49%) and logistic regression (53%).

    Source: HOB
    20406
  • My Journey from Physics into Data Science

    I still learn new knowledge everyday with my growing passion in Data Science field. To pursue different career track as a graduating physics student there must be 'Why' and 'How' questions to be answered.

    Source: HOB
    23115
  • Data science is the big draw in business schools

    Student demand for degrees in the subject soars as employers seek skilled analysts

    Source: HOB
    29835
  • Machine Learning Engineers and Data Scientists Report Highest Job Satisfaction Among Data Professionals

    Results from the Kaggle State of Data Science and Machine Learning survey of data professionals revealed that job satisfaction varies widely across job titles. Data professionals who reported the highest level of job satisfaction were: 1) Machine Learning Engineers, 2) Data Scientists and 3) Predictive Modeler. Data professionals who reported the lowest level of job satisfaction were: 1) Engineers, 2) DBA/Database Engineers and 3) Programmers.

    Source: HOB
    24420
  • 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning

    It is vital to have a good understanding of the mathematical foundations to be proficient with data science. With that in mind, here are seven books that can help.

    Source: HOB
    29103
  • Top 5 Career Opportunities in Artificial Intelligence Domain

    Artificial intelligence is one of the highest demanding fields. It includes general AI, expert systems also known as data mining, machine learning, Neural Network and lastly, fuzzy systems. These have been essential and interesting topics among the students, scholars, faculties as well as professionals.

    Source: HOB
    17523
  • To be Successful at Data Science, Think Batman, Not Superman

    I recently made a Batman analogy when discussing the topic of data science with some colleagues. In this post, I will explore this analogy further.

    Source: HOB
    17724
  • Preparing Your Data Science Resume & Portfolio

    In the past few years, I have met up with a lot of employers and conducted interviews for training program. Through the conversations and interviews and seeing the end results, I thought I will share more on how to prepare for your resume and even the interviews for a data science role.

    Source: HOB
    12837
  • AI-Based Operation: Learnings for Business and Technical Managers

    Using Reinforcement Learning to Tackle CitiBike Rebalancing Problems and Beyond

    Source: HOB
    10506
  • Everything You Should Know About 21st Century's Most Sexiest Job Profile - Data Scientist

    Taking decisions based on Data is not only an inherent sense but a strong commercial sense too.

    Source: HOB
    11778
  • Data Science: Transforming Sales & Marketing

    Data science is playing a significant role in managing customer experience. It has contributed to nearly all areas of the CRM. There are still a number of companies, yet to embrace this technology for enhancing their marketing methodologies. One of the main reasons is the lack of awareness of how data science can help engage customers more effectively, and, moreover, an inability to quantify the potential improvements.

    Source: HOB
    8604
  • Disrupting Data Science with Artificial Intelligence NEC Establishes a Startup in Silicon Valley for Automating Data Analytics

    NEC Corporation (TSE: 6701) today announced the establishment of dotData, Inc., a new startup company based in Cupertino, California, in the heart of Silicon Valley, that develops and globally provides software that automates data science processes using artificial intelligence (AI).

    Source: HOB
    12306
  • Will Data And Analytics Roles Ever Become More Clear-Cut At Tech Companies?

    It seems like data/analytics has much less clarity around roles than most other common functions at tech companies. Do you think this will ever change? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    9771
  • Data Science and Machine Learning Interview Questions

    Ah the dreaded machine learning interview. You feel like you know everything... until you're tested on it! But it doesn't have to be this way.

    Source: HOB
    43491
  • This is what I really do as a Data Scientist

    Data Science is getting very popular and many people are trying to jump into the bandwagon, and this is GREAT. But many assume that data science, machine learning, plug any other buzzword here, is to plug data to some Sckit-Learn libraries. Here is what the actual job is.

    Source: HOB
    22038
  • How I got in the top 1 % on Kaggle

    I participated in Santander Customer Satisfaction challenge, ran on Kaggle for 2 months and got into top 1%. Here, I would be discussing my approach to this problem.

    Source: HOB
    20616
  • 5 Reasons "Logistic Regression" should be the first thing you learn when becoming a Data Scientist

    I started my way in the Data Science world a few years back. I was a Software Engineer back then and I started to learn online first (before starting my Master's degree).

    Source: HOB
    12858
  • Interpretable Machine Learning with XGBoost

    This is a story about the danger of interpreting your machine learning model incorrectly, and the value of interpreting it correctly. If you have found the robust accuracy of ensemble tree models such as gradient boosting machines or random forests attractive, but also need to interpret them, then I hope you find this informative and helpful.

    Source: HOB
    20898
  • The Dirty Little Secret Every Data Scientist Knows (but won't admit)

    Most people don't realize, but the actual "fancy" machine learning algorithm is like the last mile of the marathon. There is so much that must be done before you get there!

    Source: HOB
    10746
  • 27 Incredible Examples Of AI And Machine Learning In Practice

    There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are 27 amazing practical examples of AI and machine learning.

    Source: HOB
    33654
  • Top 8 Data Science Tools in 2018

    Becoming data scientist is really hard. Each & every project requires a different kind of programming language or software to focus on. There is an immense list of tools for data science. Here are top 8 data science tools in 2018:

    Source: HOB
    12699
  • Why Data Scientists Love To Work with Blockchain Technology?

    Data Science is a central part of virtually everything from business administration to running local and national governments. At its core, the subject aims at harvesting and managing data so organizations can run smoothly

    Source: HOB
    12558
  • A Beginner's Manual to Data Science & Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data has been a crucial part of our lives.

    Source: HOB
    18483
  • Benefits and Ethical Challenges in Data Science - COMPAS and Smart Meters

    Recent advances in processing large amounts of data have generated a plethora of new opportunities to improve individual lives and the welfare of our societies. For example, smart meters monitoring domestic electricity consumption can help save electricity when not at home or suggest the cheapest electricity supplier depending on the consumption pattern.

    Source: HOB
    9294
  • Who Is Going To Make Money In AI?

    We are in the midst of a gold rush in AI. But who will reap the economic benefits? The mass of startups who are all gold panning? The corporates who have massive gold mining operations? The technology giants who are supplying the picks and shovels? And which nations have the richest seams of gold?

    Source: HOB
    14736
  • Data is Gold: The Most Valuable Commodity

    Data is gold, The amount of digital data in the universe is growing at an exponential rate, doubling every two years, and changing how we live in the world. Big Data is surely a big deal. Data has replaced oil as the world's most valuable resource. Data can help us achieve tremendous things on both the levels ie individual and businesses, and as a society. But to extract the best value from data, you need to be using the best techniques and the best technology

    Source: HOB
    25404
  • The Significant Job Roles in Data Science

    Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. The data science industry's job market is hot today.

    Source: HOB
    8808
  • 9 Must-have skills you need to become a Data Scientist, updated

    Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.

    Source: HOB
    14733
  • Top 12 Interesting Careers to Explore in Big Data

    From data driven strategies to decision making, the true worth of Big Data has been realized, and has led to opening up of amazing career choices. Check out these 12 interesting careers to explore in Big Data.

    Source: HOB
    18729
  • The 10 Step Guide to Mastering Machine Learning

    Artificial intelligence (AI) and machine learning are transforming the global economy, and companies that are quick to adopt these technologies will take $1.2 trillion from those who don't.

    Source: HOB
    13509
  • Did Google Duplex beat the Turing Test? Yes and No.

    Google unveiled an AI that can make reservations over the phone. Has the Turing Test been finally passed?

    Source: HOB
    12075
  • You've probably been hiring the wrong kind of data scientist

    Not everyone who can talk about "entropy loss" has the engineering skills to back it up. And not every hiring manager knows the difference between clickers and coders.

    Source: HOB
    10890
  • What does a data scientist actually do?

    In this feature, we take a look inside the working lives of people whose job titles often warrant the question: 'but what do you actually do?' This week, we speak to Glenn Bunker, data scientist at realestate.com.au.

    Source: HOB
    11370
  • Data Science for Startups: Business Intelligence

    Part four of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the introduction.

    Source: HOB
    12894
  • Why Data Scientists Should Write Books, And Why I Did.

    Scientists are paid the big bucks for a reason, and that's because a lot of people don't understand what the heck it is we do. But that's why writing is important. It helps us to understand what we do, and explain it to others so they can understand it, too.

    Source: HOB
    11595
  • The 4 Machine Learning Skills You Won't Learn in School or MOOCs

    Machine Learning (ML) has become massively popular over the last several years. And why... well simply because it works! The latest research has achieved record breaking results, even surpassing human performance on some tasks.

    Source: HOB
    9939
  • India's Largest Data Science Event - Data Science Congress 2018 Successfully concludes on A High Note

    Data Science Congress 2018, an initiative by Aegis School of Data Science and mUni Campus concluded with a bigger bang this year with 2000+ delegates and 100 speakers across industries. DSC 2018 was inaugurated by Shri Vijay Goel, Minister of State for Parliamentary Affairs and Statistics and Programme Implementation, Govt. of India.

    Source: HOB
    11985
  • More than 90,000 jobs available in Data Science and analytics in India: Report

    It also brings out the fact that India currently contributes about 10% of the open job openings for data scientists globally, making it the largest data science hub in the world outside the U.S.

    Source: HOB
    10719
  • Light on Math Machine Learning: Intuitive Guide to Convolution Neural Networks

    Convolution neural networks (CNNs) are a family of deep networks that can exploit the spatial structure of data (e.g. images) to learn about the data, so that the algorithm can output something useful.

    Source: HOB
    10797
  • Google's chief economist thinks the world needs more data scientists

    Not that long ago, the concept of "Big Data" was pretty abstract. Few companies considered it feasible to sift through huge sets of data looking for speculative insights.

    Source: HOB
    13344
  • Getting To Trusted Data Via AI, Machine Learning And Blockchain

    Establishing trust in data is an essential requirement for businesses and entities for whom credible, reliable information is the lifeblood. As enterprises seek to manage data as an asset, it becomes increasingly vital that data sources are trusted and verifiable.

    Source: HOB
    11832
  • Lots of data science jobs, not enough workers. TransUnion hopes new UIC professorship can help change that.

    TransUnion, the Chicago-based credit reporting agency, has funded the creation of a new professor position at the University of Illinois at Chicago in hopes of addressing a growing need for experts in the rapidly expanding field of data science.

    Source: HOB
    7503
  • How to Boost the Data Science Project?

    Unlike other projects in the organization, AI data-driven products are new for most of the organizations and the best way to go from research to production. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. The data science industry's job market is hot today

    Source: HOB
    10368
  • Deep Learning on the Edge

    Scalable Deep Learning services are contingent on several constraints. Depending on your target application, you may require low latency, enhanced security or long-term cost effectiveness. Hosting your Deep Learning model on the cloud may not be the best solution in such cases.

    Source: HOB
    10275
  • Explore More About Data Science And Its Significant Importance

    Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science is helpful for the employees to get understand about data and then make it in a proper way so that it can be communicated in a better way which is valuable for the companies.

    Source: HOB
    18312
  • List of Questions Asked in Data Science Interview

    Numbers don't lie data analytics is on rise soon it will be integrate part of all the organizations. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies

    Source: HOB
    13101
  • Differentiating between Data Science, Big Data and Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data science and data analytics, people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. However, although they may sound similar, the terms are often quite different and have differing implications for business. Knowing how to use the terms correctly can have a large impact on how a business is run, especially as the amount of available data grows and becomes a greater part of our everyday lives.

    Source: HOB
    27171
  • Machine Learning Algorithms: Data Scientists Should Know

    Machine Learning has become increasingly important today because of the digital transformation of companies leading to the production of massive data of different forms and types, at an ever increasing rate. Due to the advancements in computing technologies and exposure to huge amounts of data, the applicability of machine learning is dramatically increasing.

    Source: HOB
    10827
  • Data Science Platform Market:Top Industry Segments and Growth Opportunities by 2024

    The basic task of the data science platform is to find and analyze the work that was done in the past, making the job of the data scientists easier.

    Source: Zion Market Research
    12132
  • 5 Data Science Projects That Will Get You Hired in 2018

    A portfolio of real-world projects is the best way to break into data science. This article highlights the 5 types of projects that will help land you a job and improve your career.

    Source: HOB
    26166
  • Understanding Subjectivity in Data Science

    In a perfect world, data scientists would take subjectivity out of their conclusions when examining findings.

    Source: HOB
    8898
  • Twitter Data Science Interview Questions-Acing the AI Interview

    Last Earnings, Twitter Inc. soared the most since its market debut in 2013 after it posted the first revenue growth in four quarters, driven by improvements to its app and added video content that are persuading advertisers to boost spending on the social network - Bloomberg

    Source: HOB
    13794
  • A Gentle Introduction to Credit Risk Modeling with Data Science-Part 2

    In our last post, we started using Data Science for Credit Risk Modeling by analyzing loan data from Lending Club.

    Source: HOB
    12189
  • What does a data team really do?

    A guide to making the most out of your data.

    Source: HOB
    9093
  • Data Scientist needs Strategic Thinking

    Having done training and mentoring for quite a while, I noticed something that is not taught in most data science curriculum that I have come across but in my opinion, its an essential business knowledge that the data scientist need.

    Source: HOB
    9447
  • A Deep Understanding on the Origin and the Future of Data Science

    Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies. Data Science is now know as the sexiest job of the 21st century.

    Source: HOB
    18312
  • Data Science for Startups: Model Services

    In order for data scientists to be effective at a startup, they need to be able to build services that other teams can use, or that products can use directly.

    Source: HOB
    9687
  • 3 rules for Interactive data visualizations. A showcase with R and Highcharts

    Interactivity allows you to embed much more information than in a static visualisation by using tooltips, click-events, ability to filter etc.

    Source: HOB
    13086
  • Artificial Intelligence in Medicine

    AI for Diagnostics, Drug Development, Treatment Personalisation, and Gene Editing

    Source: HOB
    16005
  • Machine Learning for Retail Price Recommendation with Python

    DeepMind and other universities has published many End to End Reinforcement Learning papers that are used for problems that can be solved by a single agent. End to End RL algorithms learns both feature representation and decision making in the network by taking pixels as the input and the controls as output.

    Source: HOB
    20391
  • How To Identify The Best Resources To Be A Self-Taught Data Scientist

    Let me start by saying that there is no one way to being a self taught data scientist. You have got to find out what works for you.

    Source: HOB
    13869
  • Introduction to Clinical Natural Language Processing: Predicting Hospital Readmission with Discharge Summaries

    Doctors have always written clinical notes about their patientsâ??-â??originally, the notes were on paper and were locked away in a cabinet. Fortunately for data scientists, doctors now enter their notes in an electronic medical record.

    Source: HOB
    10698
  • Five Hottest Big Data Trends

    The growth of data is not going to stop. This will usher in new challenges and opportunities. Below you can find the five hottest big data trends for techies and business.

    Source: HOB
    8697
  • Data Science: A Great Field To Get into It

    Data Science is on the rise, both from a company's perspective and from an employee's perspective. This makes data science a great field to get into at the moment.

    Source: HOB
    10635
  • Skills that are useful to get a job in data science

    Every company requires different sets of talents, while some jobs require theoretical knowledge; some jobs are based more on your practical knowledge. Same is the case when it comes to getting jobs in data science, getting jobs in data science has it owns unnerving effects. A great portfolio in this case is a good way to showcase your skills what you are good at what your strengths are. This is the best way to show your employers your skills that you have been learning.

    Source: HOB
    6297
  • 5 Industries Becoming Defined by Big Data and Analytics

    The ever-improving capabilities of big data platforms increasingly create new opportunities for industries with representatives who want to examine analytics to benefit their companies.

    Source: HOB
    18063
  • The answer to recruit the best data scientist for employers

    It was declared as the "sexiest job of the 21st century," by Harvard Business Review. While the job has got a great description by Harvard the career path for now is a bit uncertain.

    Source: HOB
    10725
  • Must Aware with the Capability of AI

    Much of the AI capability working its way into BI tools today isn't entirely new consumer technologies have been successfully implementing them for years. In fact, this is one of the strengths of artificial intelligence when applied to business intelligence the fact that users already understand intuitively how to use products like Google and Amazon making it easier for them to adopt those same technologies and interaction paradigms in BI tools

    Source: HOB
    22923
  • A "Data Science for Good" Machine Learning Project Walk-Through in Python: Part One

    Solving a complete machine learning problem for the societal benefit

    Source: HOB
    35085
  • A Data Scientist's Guide to Data Structures & Algorithms, Part 1

    In data science, computer science and statistics converge. As data scientists, we use statistical principles to write code such that we can effectively explore the problem at hand.

    Source: HOB
    23325
  • Netflix Data Science Interview Questions:Acing the AI Interview

    Gain some perspective on the Netflix interview process, and on ways to prepare for just such an industry interview.

    Source: HOB
    22443
  • Five books every data scientist should read that are not about data science

    I wrote my first line of R code in 2010 for a class at the University of Washington (UW). I was hooked once I realized how much more powerful coding is than spreadsheets. Over the past decade, I witnessed the term 'data science' come into widespread use and saw the rise and fall of buzzwords like big data, business intelligence, analytics, and now artificial intelligence.

    Source: HOB
    148146
  • A "Data Science for Good" Machine Learning Project Walk-Through in Python: Part Two

    Getting the most from our model, figuring out what it all means, and experimenting with new techniques

    Source: HOB
    13617
  • The 5 Basic Types of Data Science Interview Questions

    Data science interviews are notoriously complex, but most of what they throw at you will fall into one of these categories.

    Source: HOB
    14652
  • How to Run Parallel Data Analysis in Python using Dask Dataframes

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly.

    Source: HOB
    11472
  • Recent Advances for a Better Understanding of Deep Learning - Part I

    I would like to live in a world whose systems are build on rigorous, reliable, verifiable knowledge, and not on alchemy. Simple experiments and simple theorems are the building blocks that help understand complicated larger phenomena.

    Source: HOB
    22272
  • 10 Tips to Improve your Data Science Interview

    Interviewing is a skill. Here are 10 tips and resources to improve your Data Science interviews.

    Source: HOB
    26187
  • How to Become a Data Scientist - Part 2

    Check out part 2 of this excellent series of articles on becoming a data scientist, written by someone who spends their day recruiting data scientists. This installation focuses on learning.

    Source: HOB
    13125
  • What Data Scientists Want?

    We examine what's important for data scientists in their careers, including challenging work, networking with peers, foreseeing their career path and creating a good work-life balance.

    Source: HOB
    7842
  • Five Lessons from My Data Science Internship at the United Nations

    When I heard about the work at UNDP Global Pulse, I thought it was something straight out of a movie. Data science for social impact sounds like the coolesting thing I can do with mathematics.

    Source: HOB
    42495
  • 5 Lessons I Have Learned From Data Science In Real Working Experience

    It has been a while even since I posted on Medium. Having been in Data Science for almost half a year, I've made a lot of mistakes and learned from the mistakes along the wayā?¦ through the hard way.

    Source: HOB
    10131
  • 45 Ways to Activate Your Data Science Career

    We asked our LinkedIn group members what their greatest challenges were to becoming fully fledged data scientists. Some of the most common frustrations were:

    Source: HOB
    12348
  • Seven Practical Ideas For Beginner Data Scientists

    As someone who has been there, I'd like to outline a few practical ideas to help junior data scientists get started at a small software company. The steps were drawn from my personal journey and that of others before me.

    Source: HOB
    8400
  • Role of RPA in Accounts

    Data Science, Machine Learning, Artificial Intelligence and data analytics are quite buzzword. No doubt these technologies will transform all the industries but most likely the technology that will change our profession in the short run will be Robotic Process Automation (RPA).

    Source: HOB
    6540
  • Data Science Interview Guide

    Data Science is quite a large and diverse field. As a result, it is really difficult to be a jack of all trades. Traditionally, Data Science would focus on mathematics, computer science and domain expertise.

    Source: HOB
    18615
  • Popular Deep Learning Applications

    Deep Learning is one of the hottest technologies out there. There are many research papers in Deep Learning, and it can be really overwhelming to keep up.

    Source: HOB
    9834
  • How Will Data Science Evolve Over The Next Decade?

    How do you think data science will change over the next 10 years? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    8667
  • Practical Advice for Data Science Writing

    Useful tips to get started writing about your data science projects

    Source: HOB
    9309
  • Some Great Books for Getting Started in Data Science

    I was listening to an old episode of Partially Derivative, a podcast on data science and the news. One of the hosts mentioned that we're now living in the "golden age of data science instruction" and learning materials. I couldn't agree more with this statement. Each month, most publishers seem to have another book on the subject and people are writing exciting blog posts about what they're learning and doing.

    Source: HOB
    11112
  • Top 5 business-related books all Data Scientist should read

    This curated list of mindset-changing books will help you become a better Data Scientist

    Source: HOB
    17433
  • 5 EBooks to Read Before Getting into A Machine Learning Career

    A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

    Source: HOB
    16335
  • Implementing Git in Data Science

    I hope Part 1 sold you on the idea that version control is a critical tool for managing data science experiments. But the devil is in the details, so let's talk about how to implement version control in a data science project.

    Source: HOB
    12348
  • Free eBooks for Data Visualization and Machine Learning

    What You Need to Know about Machine Learning. This eBook offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time.

    Source: HOB
    14904
  • A Comparative Data Analysis of Top 6 Business Intelligence and Data Visualization Tools in 2018

    Nowadays, there is a huge list of powerful data visualization tools to help you illustrate your ideas, visualize your data, make it talk, share your significant analytics with customers and the global community.

    Source: HOB
    25320
  • How to tackle Fake News Problem through Machine Learning

    I recently had the chance to use machine learning to address an issue that is at the forefront of the American media, the difficulty of recognizing fake news.

    Source: HOB
    10239
  • 88 Data Science Resources & Tools to Become a Data Scientist Expert

    Harvard Business Review has regarded data scientist as the sexiest job of the 21stcentury. In this article, with the assistance of Octoparse V7, one of the best free web data scraping tool, we aggregated the resources and tools that you may need to become a data scientist.

    Source: HOB
    100524
  • How to prepare for Machine Learning Interviews: Let's Know How

    Machine Learning opportunities can be sparse, so when you finally get invited to that long-awaited Machine Learning Interview, you want it to go perfectly. Let me show you how.

    Source: HOB
    27750
  • 15 Mathematics MOOCs for Data Science to be Data Scientist

    The essential mathematics necessary for Data Science can be acquired with these 15 MOOCs, with a strong emphasis on applied algebra & statistics.

    Source: HOB
    17910
  • 5 Data Science Lessons from a Data Scientist Intern at a Tech Unicorn

    Actionable takeaways from a memorable experience As we moved into August and summer begins to wind down, I thought I'd take the time to reflect on my last 12 weeks as a Data Science Intern for Unity Technologies in San Francisco, CA.

    Source: HOB
    10398
  • Career Transition Towards Data Analytics & Data Science. Here's my Story

    At the moment of writing this post about Data Analytics and Data Science, I am bootstrapping a data literacy consultancy, catering to large enterprises around the globe.

    Source: HOB
    9906
  • How to Setup a Data Science Environment on your Personal Computer? Let's Know How

    Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.

    Source: HOB
    19110
  • Top 5 Steps To Reinvent Your Job Or Career In The Era Of Artificial Intelligence

    Did ATMs wipe out the bank tellers? No. Did PDFs wipe out the print industry? No. Did self-service checkout wipe out cashiers? Still no. Still, many jobs are changing thanks to the onslaught of automation and AI, resulting in types of new roles and responsibilities.

    Source: HOB
    10761
  • List of Free Machine Learning Books Must Read to become Machine Learning Engineer

    Machine learning is an application of artificial intelligence that gives a system an ability to automatically learn and improve from experiences without being explicitly programmed. In this article, we have listed some of the best free machine learning books that you should consider going through (no order in particular).

    Source: HOB
    35268
  • 19 Free Public Data Sets for Your First Data Science Project

    Completing your first project is a major milestone on the road to becoming a data scientist. It's also an intimidating process. The first step is to find an appropriate, interesting data set. You should decide how large and how messy a data set you want to work with; while cleaning data is an integral part of data science, you may want to start with a clean data set for your first project so that you can focus on the analysis rather than on cleaning the data.

    Source: HOB
    22848
  • Top 9 Data Science Skills Must Have to Become a Data Scientist

    Here details of the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.

    Source: HOB
    78282
  • 38 Best Data visualization Resource and Tools Will Blow Your Mind

    It's often said that data is the new world currency, and the web is the exchange bureau through which it's traded. As consumers, we're positively swimming in data; it's everywhere from labels on food packaging design to World Health Organisation reports.

    Source: HOB
    17892
  • Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science

    The connected devices (The Internet of Things) generate more than 2.5 quintillion bytes of data daily. All this data will significantly impact business processes and the Data Science for IoT will take increasingly central role.

    Source: HOB
    12228
  • 100 Plus Commonly Asked Data Science Interview Questions to Get Job as Data Scientist

    Preparing for an interview is not easy - naturally, there is a large amount of uncertainty regarding the data science interview questions you will be asked. No matter how much work experience or technical skill you have, an interviewer can throw you off with a set of questions that you didn't expect.

    Source: HOB
    17547
  • Data Science Takes on Public Education for Data Scientist

    I came across a challenge on Kaggle called PASSNYC: Data Science for Good. Nelson Mandela was right. Education is a powerful weapon as well as one of life's greatest gifts.

    Source: HOB
    9081
  • 6 Most Popular Data Science Books That Every Data Scientist Should Read in 2018

    Data Science is very hot and demanding field which contains methods and techniques from the other fields like statistics, machine learning, artificial intelligence, Bayesian and many more other fields. The main purpose of these fields is to generate meaningful insights from the collected data.

    Source: HOB
    43551
  • 7 common Data Visualizations You Should Know in R.

    Data visualization is an art which converts numbers into effective knowledge. There are a few programmes out there to help you in data visualization, one of the programmes that help you learn this art is R Programming.

    Source: HOB
    16200
  • 5 Data Science Projects That Will Get You Hired as Data Scientist in 2018

    A portfolio of real-world projects is the best way to break into data science. This article highlights the 5 types of projects that will help land you a job and improve your career.

    Source: HOB
    9084
  • Challenges you might face if you are a data scientists

    Like other careers that don't come without challenges; data science too has its own challenges to concur.

    Source: HOB
    6807
  • Top 25 Machine Learning Startups To Watch In 2018

    Crunchbase lists over 5,000 startups who are relying on machine learning for their main and ancillary applications, products and services today.

    Source: HOB
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    Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it's poised to transform all sectors, from retail, telecommunications, and agriculture to health, trucking, and the penal system.

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    Despite the struggles, it is possible to leverage data science and machine learning to scale your business, save time and grow revenue while improving your customers' experience.

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  • How I Doubled my Salary in Five Months and Got an Amazing Job

    Six months ago I quit my job as a junior JavaScript developer and traveled around south-east Asia for five months. Within a week of getting back to the UK, I had three job offers and had accepted an offer for almost double my previous salary. It wasn't easy, but it was worth it. Here's how I did it.

    Source: HOB
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    In this article you will read about 15 Android applications which can be useful for a data scientist or data analyst.

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    Data scientists are the MVPs of any IoT program, but difficulties preparing and leveraging data threaten how quickly they can deliver. Knowing what's lurking in the shadows can streamline the most difficult processes.

    Source: HOB
    5583
  • India AI research to get a boost from IBM and IIT Bombay's venture

    Tech giant IBM on Wednesday announced a partnership with IIT Bombay to advance artificial intelligence (AI) research in India.

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  • What is The Role & Responsibility of an AI Software Engineer in a Data Science Team?

    Data Science is becoming an integral part of business systems in the modern world primarily because of the increasing dependence on technology.

    Source: HOB
    11721
  • Top 12 Famous Data Science, Big Data & Data Analytics Influencers In 2018

    As data science and big data get the hype in the industry, handling it is a challenge we need to deal with. Along with all the pros on one side keeping yourself advent with the latest improvements in this field is another issue which bothers us.

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  • Top 5 Data Science Material for Data Science Beginners That Can be Downloaded Free

    The popularity of data science, big data jobs in India and globally has leapfrogged over the past five years or so. Its successful run in the industry can be attributed to better research, project implementations and the general growth in big data and data science. These developments have called out for techies trying to make a career in data science.

    Source: HOB
    33663
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    Source: HOB
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  • 50 Data Science, Data sets that are more than amusing, Part-1

    This article list data sets from the data science world that you might find interesting.

    Source: HOB
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  • 50 amusing Data Science Data sets part 2

    We covered 50 data sets for data scientists that are amusing in part 1. In part two we cover 50 more of those.

    Source: HOB
    6318
  • 50 amusing Data Science Data sets part 2

    50 data sets that data scientist find amusing.

    Source: HOB
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  • Clearing the Confusion: Between Artificial Intelligence vs Machine Learning vs Deep Learning

    Raise your hand if you've been caught in the confusion of differentiating artificial intelligence (AI) vs machine learning (ML) vs deep learning (DL)...

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    7938
  • 60+ Free Books on Data Science, Big Data, Data Mining, Machine Learning that Everyone Should Read!

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  • Why You Need to Care About Interpretable Machine Learning Application

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  • How To Become a Data Scientist, According To Grab's Data Science Head

    What do data science, data analytics, and business intelligence mean at Grab and how are they being used? - Wong Mun

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    62502
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    This "classic" (but very topical and certainly relevant Big Data) post discusses issues that Big Data can face when it forgets, or ignores applied statistics. As great of a discussion today as it was 2 years ago.

    Source: HOB
    18420
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    Source: HOB
    23238
  • More Free Books & Resources on Data Science, Data Mining That You Should Read!

    More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics, and statistics.

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    14952
  • How to Come Out on Data Science Top in The Data Scientist Hiring War

    Demand for data scientists is at an all-time high and will continue to be at record levels in the coming years while these professionals become more scarce.

    Source: HOB
    32241
  • What All Can You Learn About Deep Learning in Just Five Days?

    Deep learning, artificial intelligence, and neural networks are challenging new concepts for many, but an intensive short course from ICHEC aims to plug the knowledge gap.

    Source: HOB
    17430
  • How Docker Can Help You Become A More Effective Data Scientist

    I would never use as a data scientist, or too shallow: not giving me enough information to help me understand how to be effective with Docker quickly.

    Source: HOB
    20895
  • 35 Invaluable Books on Data Visualization that You Must Read for Better Visualization Data

    Are you a hard-core enthusiast of data visualization? Or a beginner, who wants to learn and be able to create more effective visualizations? Check out our list of 35 invaluable books you must read for better visualization.

    Source: HOB
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  • Are Data Scientists the Highest Paid Job?

    There is considerable hype around data science. Websites and social media are flooded with articles on Big Data, Data Science, and Data Analytics. These fields are projected as top fields, while data scientists are considered as saviors of the world and hence are supposed to be highest paid professionals.

    Source: HOB
    60834
  • Want A Job In Data Science? There May Be A Test To Become Data Scientist

    Data analytics is becoming more vital for businesses, and data scientists are in high demand. But the emerging field is broad, and some companies say they have struggled to find job candidates whose skills fit their needs.

    Source: HOB
    60585
  • Why, How and What are the Purpose of Machine Learning?

    The world around us is rapidly changing with machines becoming more intelligent. Machines learn from data that we have collected over the years and what we generate each day. Machine learning is not a new concept but was actually coined by Arthur Samuel in the year 1959

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  • 10 Machine learning frameworks those are popular amongst Data scientists

    Data scientists has taken the spot of the number one job in America, and not only for America Data Scientists, data science jobs are amongst the most coveted careers all around the globe.

    Source: HOB
    7953
  • What are the best free online Big Data and Data science courses?

    IBM recently predicted that in the next two years there might be a boost of 28 percent in the number of employed Data scientists.

    Source: HOB
    23259
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    Embarking on a journey through the lands of machine learning? Here are few important lessons like Feature Engineering, Model tuning, Overfitting, Ensembling etc. which you should keep in mind along the way.

    Source: HOB
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  • Why Data Sciences Today Cannot Be Ignored by Smart Entrepreneurs?

    With data sciences being the focal point, Entrepreneur India analyses why this new trend is now the essential tool for a majority of smart entrepreneurial solutions.

    Source: HOB
    9564
  • Why Data Scientists Like Python Over Java?

    Most developers have dubbed Python as the Swiss Army Knife in the data science community. It is easy to understand the reason behind it.

    Source: HOB
    49311
  • Why is data science considered as a lynchpin for HR's Success?

    Data analytics is providing the HR department with new insights into employees and policies in the workplace.

    Source: HOB
    7245
  • 7 Things Every Manager Should Know About Machine Learning

    Machine learning has tremendous potential to transform companies, but in practice it's mostly far more mundane than robot drivers and chefs. Think of it simply as a branch of statistics, designed for a world of big data.

    Source: HOB
    9615
  • Unusual problems that can be solved with Data Science

    Here is a non-exhausting list of curious problems that could greatly benefit from data analysis.

    Source: HOB
    12681
  • Top 10 Machine Learning Algorighms Everyone Should know to Become Data Scientist

    Learn about ten machine learning algorithms that Everyone should know to become a data scientist. Machine learning practitioners have different personalities. While some of them are "I am an expert in X and X can train on any type of data," where X = some algorithm, others are "right tool for the right job" people.

    Source: HOB
    49146
  • How to Get Job in Machine Learning, Even If You Aren't a Data Scientist

    The average company faces many challenges in getting started with machine learning, including a shortage of data scientists.

    Source: HOB
    22668
  • How Did I Learn Data Science, When I was Jobless

    Over the last year, I taught myself data science. I learned from hundreds of online resources and studied 6 - 8 hours every day. All while working for minimum wage at a day-care.

    Source: HOB
    35688
  • 8 thought processes that can help you become a Data Scientists

    A data scientist needs to be Critical and always on a lookout for something that misses others......

    Source: HOB
    7086
  • Why Data Science Is The Most Hottest Career in 2018

    In today's world, whatever your job, having skills and knowledge in Data Science will play a huge role in your career development. For example, big data and analytics gathered from customers allow marketers to build more effective digital marketing campaigns.

    Source: HOB
    13938
  • Data analysis could be key to Success In Your Career

    Understanding data is key to unlocking job opportunities - Harvard Gazette. New course hopes to give students an edge in the job market.

    Source: HOB
    8967
  • Major Challenges Face By Data Scientist, Do They Need To Adopt A Broader Set Of Skills For Survival?

    Data Scientists are expected to have a broader set of skills, which is realistically not possible. We believe a time will come when we expect more specialisation and collaboration by data scientists, rather than expecting one person to know everything.

    Source: HOB
    9708
  • Different levels of Data usage in Data Science

    5 years ago the idea of extracting value from data was new to businesses, and that businesses had to be convinced that it was worth their effort to collect data and analyze it for meaningful patterns from which they could benefit.

    Source: HOB
    6351
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    Until a few years ago the work of data scientists was isolated and mattered primarily for research and/or R&D purposes. The industry has been extremely thankful for the contributions of these clever individuals but we need them now in the mainstream.

    Source: HOB
    11193
  • Top 5 Business-Related Books That Every Data Scientist Should Read

    This curated list of mindset-changing books will help you become a better Data Scientist. According to Drew Conway, the Data Science Unicorn is an expert in statistics, programming, and business.

    Source: HOB
    11610
  • 5 Free Online EBooks To Read Before Getting Into Machine Learning Career

    A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

    Source: HOB
    15522
  • Do you want a job at a Top Startup? Here's way to land one now

    The 50 companies on the just-released LinkedIn Top Startups list in the U.S. have a whopping 3,069 open jobs, a reflection not only of their ambitions and expansion plans but also an ever-tightening national labor market, with more positions going unfilled.

    Source: HOB
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  • How can Companies Unshackle Data Science from IT?

    There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.

    Source: HOB
    13335
  • How to strat writing code a production-level in Data Science?

    Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.

    Source: HOB
    6522
  • How to start writing code a production-level in Data Science?

    Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.

    Source: HOB
    11199
  • Looking For Data Science Jobs: The Perfect Data Scientist Doesn't Exist

    What are the most to least important skills, and the types of people who apply for data science jobs. I talked about all of the skills I want in an ideal candidate. But since that candidate doesn't exist, I have to prioritize what attributes the candidates that I hire have.

    Source: HOB
    16194
  • 17 Most Popular ML Ideas For Using Machine Learning In Communications

    Machine learning and artificial intelligence have multiple applications in various fields. Communications and marketing is no exception. Just like other industries, it can help improve how smoothly everything runs and offer additional insights that were difficult to obtain manually.

    Source: HOB
    15855
  • How Data Science Is Becoming A Science, Every Data Scientists Should Read

    If you're interested in knowing the similarities and differences of Data Science in Latin America countries and others, how to contribute to the data science community.

    Source: HOB
    9981
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    We asked our LinkedIn group members what their greatest challenges were to becoming fully fledged data scientists. In response, we rounded up 45 of our favorite ideas from our SuperDataScience podcast guests to (re)activate your career.

    Source: HOB
    6960
  • Data Scientists are in-High Demand and Well Paid - So, why is there a skills gap?

    Data scientists are responsible for unlocking these insights and extracting intelligence which influences our lives, in commerce and at home.

    Source: HOB
    11724
  • 9 Phenomenal Facts About Data Science You Never Know

    The aspirants who want to make a scintillating career in the field of data science must be astonished to know this fact. So, a data scientist is a very demanding profession and the USA leads in the market of data science.

    Source: HOB
    15588
  • I Dropped Out of College to Create My Own Data Science Mastery - Here's My Curriculum

    I dropped out of a top computer science program to teach myself data science using online resources like Udacity, edX, and Coursera. The decision was not difficult.

    Source: HOB
    127725
  • 10 Key Technologies Playing Big Role in Big Data Analytics For Businesses

    The big data analytics technology is a combination of several techniques and processing methods. What makes them effective is their collective use by enterprises to obtain relevant results for strategic management and implementation.

    Source: HOB
    19833
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    Advice for young professionals in the non-CS field who wants to learn and contribute to data science/machine learning. Curated from personal experience.

    Source: HOB
    63198
  • Which Languages Should You Learn For Data Science, Here to Start?

    Data Science is an exciting field to work in, combining advanced statistical and quantitative skills with real-world programming ability. There are many potential programming languages that the aspiring data scientist might consider specializing in.

    Source: HOB
    24318
  • I was Asked, What is a Senior Data Visualization Engineer?

    I was asked recently on twitter a question that I've been asked in one form or another several times since I became a Senior Data Visualization Engineer at Netflix.

    Source: HOB
    12045
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    Regardless of where you stand on the matter of Data Science sexiness, it's simply impossible to ignore the continuing importance of data, and our ability to analyze, organize, and contextualize it.

    Source: HOB
    23973
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    Source: HOB
    30060
  • The 4 Bad Ways For Data Scientist Not To Get Hired, Mind It!

    Avoiding these common mistakes won't get you hired as Data Scientist. But not avoiding them guarantees your application a one-way ticket to the no pile.

    Source: HOB
    11202
  • Understand The Machine Learning From Scratch For Beginners

    Machine Learning is the term which we have been Hearing Now everywhere. When I Started My ML Journey Back in April 2016 I was like complete Noob having No Idea what ML is I used to Think does ML means that Machine are learning ?

    Source: HOB
    35469
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    When I joined Point Nine two and a half years ago, I knew nothing about Venture Capital. I am looking to learn about Data Science and Machine Learning everything online so I can do it from everywhere.

    Source: HOB
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    Microsoft seeks to weave its Data Science, Artificial Intelligence and Core Windows OS components into a single team.

    Source: HOB
    24831
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    Python continues to take leading positions in solving data science, Machine Learning, Deep Learning, Data Scraping tasks and challenges. Last year we made a blog post overviewing the Python's libraries that proved to be the most helpful at that moment.

    Source: HOB
    63429
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    Source: HOB
    10350
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    Data Science has been hailed as the transformative trend that is set to re-wire the industries and re-invent the ways people do things. Products and applications are being developed in agriculture, healthcare, urban planning, trade, commerce, finance, and the possibilities are growing.

    Source: HOB
    31458
  • These signs will tell if you are a data scientist or not.

    Just because you aspire to be a data scientist doesn't mean you already are qualified to be one.

    Source: HOB
    7305
  • Data Science Leads to the Business Success

    In today's world with the introduction of "Internet of Things" and the improvement of "AI Technology" has led to implementation of big data solutions to almost every organization whether small or large organizations. With the help of big data analytics the management can easily take the decision and improve their operational efficiency.

    Source: HOB
    9546
  • How to switch from Web Development to Machine Learning

    It isn't easy to find a web developer who hasn't contemplated the idea of switching to machine learning. And they can't be blamed, why deal with monotonous CSS declarations and JavaScript programs when you can challenge yourself with the most interesting problems of artificial intelligence?

    Source: HOB
    16557
  • If You Want To Learn Data Science, Take These Statistics Classes

    A year ago, I was a numbers geek with no coding background. After trying an online data science programming course, I was so inspired that I enrolled in one of the best computer science programs in Canada.

    Source: HOB
    98016
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    Claimed as the sexiest job of the 21st Century here I shall discuss the reasons for my proclamation as a Data Scientist, beyond the hype.

    Source: HOB
    8937
  • How To Get A Data Scientist Job at Your Dream Company - My Journey Here!

    I just started my new job at Airbnb as a data scientist a month ago, and I still feel that I'm too lucky to be here. Nobody knows how much I wanted to join this company.

    Source: HOB
    13257
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    44280
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    Source: HOB
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  • Learning the Ecosystem, Not New Data Science Language?

    In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with.

    Source: HOB
    8868
  • Importance of Different Maths in Data Science

    As a data scientist sometime you have to learn those basic mathematics by heart to use or apply the techniques properly, other times you can just get by using an API or the out-of-box algorithm.

    Source: HOB
    6831
  • 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study

    Writing a machine learning algorithm from scratch is an extremely rewarding learning experience. We highlight 6 steps in this process.

    Source: HOB
    9426
  • If you want to learn Data Science, Take These Programming Classes

    A year ago, I was a numbers geek with no coding background but wanted to learn data science. After trying an online programming course, I was so inspired that I enrolled in one of the best computer science programs in Canada.

    Source: HOB
    39786
  • A Complete Machine Learning Project Guide in Python

    Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don't quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting

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    67959
  • How to Run Parallel Data Analysis in Python using Dask Data frames

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly. If you work on Big Data, you know if you're using Pandas, you can be waiting for up to a whole minute for a simple average of a Series, and let's not even get into calling apply.

    Source: HOB
    20706
  • Data Science and Machine Learning Interview Questions For IT Professionals

    Ah, the dreaded machine learning and data science interview. You feel like you know everything until you're tested on it! But it doesn't have to be this way. Over the past few months, I've interviewed with many companies for entry-level roles involving Data Science and Machine Learning.

    Source: HOB
    32043
  • Exploratory Data Analysis of E-Commerce Transactional Data

    In general explanation, data science is nothing more than using advanced statistical and machine learning techniques to solve various problems using data and Data Analysis. Yet, it's easier to just dive into applying some fancy machine learning algorithms -and Voila! You got the predictionā??-ā??without first understanding the data.

    Source: HOB
    16413
  • A Complete Machine Learning Guide in Python: Part 2

    Assembling all the machine learning pieces needed to solve a problem can be a daunting task. In this series of articles, we are walking through implementing a machine learning workflow using a real-world dataset to see how the individual techniques come together.

    Source: HOB
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  • How to Build Valuable Data Science Projects Into the Real world

    Most articles about how to complete a data science task usually discuss how to write an algorithm to solve a problem. For example how to classify a text document or forecast financial data.

    Source: HOB
    10122
  • Data Science & Machine Learning are Most Wanted Skills: DE Survey

    Data science is the top skill to learn in 2019, SlashData said. It noted that 45 percent of developers want to gain expertise in data science and machine learning, with other most-wanted skills including UI design (33 percent) and cloud-native development (25 percent).

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  • Building Data Science Capabilities for Companies and Know the Real Potential of Data Scientists

    Now a day's most of the organizations are using Data Science capabilities to shape the next set of products which will be more personalized and dynamic. Businesses across verticals have been sitting on huge quantities of data over the years, in various forms like customer, partner, and internal data.

    Source: HOB
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  • 10 best Online Courses for Data Science

    If you like a trendy career, you have that opportunity right now and get hired by the big industries. According to the Harvard Business Review, Data Scientists - "The Sexiest Job of the 21st Century". This article talks about the Data Science Courses, Certification, Tutorial and Training for Data Scientists

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    58863
  • Understanding Easy Ways to Get Step Into Data Science

    Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.

    Source: HOB
    6426
  • Understanding Easy Ways to Get Step Into Data Science

    Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.

    Source: HOB
    8037
  • 10 interview questions that could be asked by startup's about Machine Learning and Data Science

    Machine Learning and Data Science are being looked as the drivers of the next industrial revolution happening in the world today. This also means that there are numerous exciting startups looking for data scientists.

    Source: HOB
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  • Top 10 Hottest Jobs In Data Science Right Now

    Did you know that by 2024 the demand for data scientists is projected to outpace supply by 250,000 jobs?

    Source: HOB
    48459
  • What Is Deep Learning AI? A Simple 8 Practical Examples Guide to Understand Deep Learning

    There's a lot of conversation lately about all the possibilities of machines learning and deep learning to do things humans currently do in our factories, warehouses, offices and homes. While the technology is evolving-quickly-along with fears and excitement, terms such as artificial intelligence, machine learning and deep learning may leave you perplexed.

    Source: HOB
    14301
  • Facebook & Udacity Announced To Give You a Scholarship to Master Machine Learning

    Scholarship recipients will learn the Machine Learning, Deep Learning framework PyTorch for Artificial Intelligence Research.

    Source: HOB
    10482
  • What value do a Data Scientists bring to power up an organisation?

    Data scientists are the only ones who could make sense out of all this gigabytes of data. Now there is data more than there was every before the so there is an immense need of skilled data scientists and data analysis's.

    Source: HOB
    10026
  • A Guide To Become A Machine Learning Engineer

    Machine Learning is the very popular technology and its demand is increasing day by day. Now all the organisations are looking for Machine Learning engineers and this is the highest paid profile in the industry. Here we take you through all the aspects of machine learning from simple linear regressions to the latest neural networks, and you will learn not only how to use them but also how to build them from scratch.

    Source: HOB
    16209
  • 200+ Best Machine Learning, Natural Language Process, and Python Tutorials for Programmers - 2018

    I have split this post into four sections: Machine Learning, Natural Language Process, Python, and Math. I have included a sampling of topics within each section, but given the vastness of the material, I can't possibly include every possible topic.

    Source: HOB
    57402
  • Data Science and Machine Learning Through the Eyes of Fiction World

    The two most powerful technologies Data Science and Machine Learning are not only changing the industries but also influencing many movies-makers across the globe. Basically these technologies are penetrating the entire world.

    Source: HOB
    8871
  • How to Make A Career In These Field - Data Science, Machine Learning and Big Data?

    Who has had prior stints in retail and education industry talks about the difference between Data Science, Machine Learning, and Big Data - Abhinav Rai, Data Scientist at an upgrade.

    Source: HOB
    90351
  • Top Videos And Tutorials To Get Started With Machine Learning And Artificial Intelligence at Beginner Level, Part-1

    Machine Learning and Artificial Intelligence are the two most trending technology everyone want to get learn and get started their career in these field. This field is not only in demand but also the highest paid profile. Here if you are at beginner level to learn machine learning and artificial intelligence follow these videos as you can gain more insights to start your career.

    Source: HOB
    14808
  • Demand For Data Scientists & Machine Learning Will Soar 28% By 2020: IBM Report

    Jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000.

    Source: HOB
    76242
  • Get Start Your Career In Machine Learning & Artificial Intelligence At Advanced Level With Best Videos And Tutorials, Part-2

    In Part-1 we have covered how to get started with Machine Learning at beginner level. Here in Part-2 we learn machine learning at two other levels. Machine Learning and Artificial Intelligence are the two most trending technology everyone want to get learn and get started their career in these field. This field is not only in demand but also the highest paid profile.

    Source: HOB
    16524
  • Is Data Science Degree Mandatory To Get Job in Data Scientist Field?

    Whether you need to pursue higher education for a job in data science really boils down to your existing skill set and specific goals.

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    46527
  • How Did I Become A Machine Learning Engineer: Follow Cheat Sheet

    If you are interested in pursuing a career in Machine Learning and don't know where to start, here's your go-to guide for the best programming languages and skills to learn, interview questions, salaries, and more.

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    17763
  • 10 Plus Videos to Learn Artificial Intelligence, Machine Learning & Data Science For Beginners: Must Watch!

    Youtube is a very popular source to educate and entertain people. To learn Artificial Intelligence, Machine Learning and Data Science youtube proved as a good online source by the users. This is great source for educational videos. Now all these technologies are becoming popular day by day and everyone want to learn and get start their career in these fields so they are searching these video channels on youtube.

    Source: HOB
    64143
  • Open-Source Machine Learning Is Free To Learn, As In Beer

    Machine learning (ML) continues to amaze us with its abilities and is set to transform the economic structure of many industries -- from producers of widgets to financial analysts and health care providers.

    Source: HOB
    14616
  • A Lot Of Companies Feel Pressure To Hire Data Scientists

    Do you know why you're hiring data scientists? A lot of companies feel pressure to hire one, but a lot of companies aren't ready for them or don't know what to do with them, said Stephen Gatchell, head of data governance at Bose Corporation, during a closing keynote panel at the recent Global Artificial Intelligence Conference in Boston.

    Source: HOB
    15324
  • Understand the Role and Responsibility of Data Scientist and Data Analyst

    Data is Gold, The amount of data in the universe is growing at an exponential rate and it is the most important valuable resource not only for individual but for businesses as well. But to get the best value from data you need to be using the best techniques and the best technology.

    Source: HOB
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  • Know Top 4 Reasons Why Everybody Want to Get Learn Python

    Python is very popular because of its set of robust libraries that make it such a dynamic and a fast programming language. Python is the fastest-growing programming language in the world, as it increasingly becomes used in a wide range of developer job roles and data science positions across industries.

    Source: HOB
    17421
  • 300+ Free Online Programming Language Courses To Learn & Get Highest Salary in 2018

    You can use Quick Code to discover more free programming language courses based on different technology and programming languages. Take these courses to learn programming, web development, front-end development, mobile application development, data science and start learning.

    Source: HOB
    23904
  • Know the Dual Roles of A Data Scientists?

    Data Scientists is gaining much attention in the age of analytics at the same point of time the role as a Data Engineers are equally important. Data Scientist filed is evolving and they plays a dual role in the organizations. Data engineers are responsible for the databases, data pipelines, and data services that are prerequisites to data analysis and data science.

    Source: HOB
    50754
  • Popularity of languages in Machine Learning and Data Science over the years.

    After doing some search and searching for machine learning and data science on the web for hours before writing this article, the most outstanding programming languages related to the topics.

    Source: HOB
    14520
  • How To Get Started With Kaggle Competitions in Machine Learning

    Recently I decided to get more serious about my machine learning and data science skills. So I decided to practice my skills, which led me to Kaggle.

    Source: HOB
    54015
  • Which Technology Skills in Demand for Data Science & Earn The Highest Salaries?

    What are employers looking for? Data scientists are expected to know a lot - machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. Within those areas, there are dozens of languages, frameworks, and technologies data scientists could learn. How should data scientists who want to be in demand by employers spend their learning budget?

    Source: HOB
    19143
  • 10 Things You Might Be Cut Out for A Data Scientist Job

    The data scientist role has been attracting quite a bit of attention and interest--but if you're considering a job in that field, make sure you know what you're taking on.

    Source: HOB
    21765
  • Comparison Report on Software Engineers Salaries in India with the US, UK, Germany, and The Entire World

    I analyzed the Stack Overflow survey and found a stark contrast in the salaries of software engineers, youth, interest in new tools, opinions about AI, ethics and more...

    Source: HOB
    25224
  • SD Bootcamp Codeup Launching New Data Science Program For People To Make Careers In Data Science

    In response to growing demand from employers, San Antonio-based Codeup is launching a new program aimed at preparing people for careers in data science.

    Source: HOB
    22944
  • 10 Best Big Data Courses Online, Tutorial and Training.

    Best big data courses listing displays the 'Best Course,' 'Product Description,' 'Rating,' 'Students Enrolled' as well as 'Product's Image' and 'Enroll Now' Button to purchase the Courses from the website for your convenience.

    Source: HOB
    15729
  • Collection of 10 Startup Companies That Will Be Unicorn In Coming Years

    All data technologies are evolving and getting a lot of hype in the industries. Now most of the organizations are leveraging these technologies ie. Artificial Intelligence, Machine Learning and Data Science. In this article there is a colloection of few artificial Intelligence, Machine Learning and Data Science start-ups in India.

    Source: HOB
    16263
  • Data Science Institute Develops Students For Ethical & Business Decision-Making

    The University's Data Science Institute recently incorporated the new Center for Data Ethics and Justice - founded by the University's Bioethics Chair Jarrett Zigon - in an effort to ramp up its focus on ethics in analysis and interpretation of data. This partnership has created a new course for graduate data science students that specifically addresses ethical issues related to the handling of data and advancement in technology.

    Source: HOB
    13893
  • Why Data Skills Would Be Important For Employees in Coming Years?

    Data is not for only Analytics team now as Data Scientists are in demand and data covers all most many roles in an organization and employees need the literacy to handle it effectively. Now in most of the organization the data skills matters a lot because data is gold for all the industries and it is in very huge numbers as well.

    Source: HOB
    8169
  • Know what kind of Data you are using?

    These data sources include social media, online communities, open data sources and more. These data are collected by other companies, each using their unique systems and processes.

    Source: HOB
    6930
  • How I Get Trained Machine Learning Models Online For Free - GPU, TPU Enabled

    Computation power needed to train machine learning and deep learning model on large data sets has always been a huge hindrance for machine learning enthusiast. But with Jupyter notebook which runs on the cloud, anyone who has the passion to learn can train and come up with great results.

    Source: HOB
    20955
  • Polish Your Knowledge And Skills With These Data Science Programs

    Data Science is a very huge field and it allows fresher and experienced professionals to kick-start their career in this evolving field. Now HR of the companies are seeking for Data Scientists CV and ready to pay the highest salary. For this most of the people are struggling to get learn about data science.

    Source: HOB
    27462
  • Why All Employees Need Data & Data Science Skills In 2019 (And Beyond)

    Data & Data Science is not just for the analytics team anymore. While data scientists are still in demand, the newest conundrum facing today's organizations concerns the rest of the staff. Data isn't used in a vacuum: it touches many other roles, and those employees need the literacy to handle it effectively.

    Source: HOB
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  • A walk through different strategies of Artificial Intelligence.

    Since the IP in ML/AI cannot reasonably be protected, control and dominance of the data is the remaining strong play. Systems of Intelligence companies are less defensible on this dimension.

    Source: HOB
    7083
  • 10 Data Science Steps for Startups - Everyone should know who is not data scientist

    I recently changed industries and joined a data science startup company where I'm responsible for building up a data science discipline.

    Source: HOB
    20997
  • Gain Insights About Data Science With Popular YouTube Videos

    Data Science is the very vast term and it specifies that how will the specific method can be applied to data in a business setting. In this way, organizations use mathematics, statistics, predictive analytics, and artificial intelligence (including machine learning) to dig into cumbersome data sets in order to reveal trends. Data science is a product of big data through and through, and can be seen as a direct result of increasingly complex data environments.

    Source: HOB
    12996
  • Data Science Skills Are in High Demand Across Industries: LinkedIn Workforce Report

    According to the August 2018 report by the employment-oriented service, data science skills are rising in demand across industries in the U.S.

    Source: HOB
    74634
  • Unsure of whether to learn R, SAS or Python. We are here to help.

    If you are new to the world of data science and aren't experienced in either of these languages, it makes sense to be unsure of whether to learn R, SAS or Python.

    Source: HOB
    16155
  • Why I did Master In Python For Data Science: 8 Concepts You May Have Forgotten

    Mastering the little things in Python, NumPy, and Pandas for Data Science. here's the stuff that I'm always forgetting when working with Python, NumPy, and Pandas.

    Source: HOB
    82848
  • Awesome Mario Kart Character According To Data Science - Every Data Scientist Should Learn

    My Mario Kart reflexes aren't what they used to be, but I am better at data science than I was as a fourth grader, so in this post, I'll use data to finally answer the question "Who is the best character in Mario Kart?"

    Source: HOB
    14805
  • How To Develop Your Own Neural Network From Scratch In Python

    As part of my personal journey to gain a better understanding of Neural Network in Python, I've decided to build a Neural Network from scratch without a deep learning library like TensorFlow. I believe that understanding the inner workings of a Neural Network is important to any aspiring Data Scientist.

    Source: HOB
    55137
  • 6 Free Online Data Science Courses To Become Data Scientist - 2018

    Are you looking for Free online Data Science courses? Yes, it is possible. Data science plays a very crucial role when it comes to companies growth. Why? because with the help of Data Scientist, a company can know more about the behavior of its users or potential clients (For example - Amazon and Flipkart).

    Source: HOB
    98721
  • What Exactly Can You Do With Python? There Are Python's 3 Main Applications

    If you're thinking of learning Python-or if you recently started learning about Python-you may be asking yourself- What exactly can I use Python for?

    Source: HOB
    47661
  • 30 Best Machine Learning Projects for the Past Year 2017 (v.2018)

    For the past year, we have compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance).

    Source: HOB
    92097
  • I Climbed Every Intro to Data Science Course On The Internet, Based On Thousands Of Data Science Points

    A year ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master's program using online resources.

    Source: HOB
    78756
  • 10 reasons why Data Analytics can be a real hair puller for companies?

    Data analytics is the primary enabler to derive insights and reach out to meaningful truth, resulting in business growth and increased revenue.

    Source: HOB
    8001
  • Graduate Students Flock to Data Science as Interest & Demand Skills Surge

    It's been called the New Latin for data science students, and for those who get their degree, it's considered the sexiest job of the 21st century.

    Source: HOB
    33729
  • "Data Is Gold": Huge Data Equals To High Revenue For Business

    Data is very important and all the organizations are running towards data to collect it and store it safely. In today's world "Data Is Gold" and data has the potential to turn businesses into revenue. It can be possible only when if we use data is a perfect manner. To analyze and process data models, machine learning is very important. It involves large dynamic datasets to train itself, test and perform predictive and prescriptive analysis.

    Source: HOB
    6144
  • How Hitchhiker's Guide Workes For Machine Learning in Python

    Machine learning is undoubtedly on the rise, slowly climbing into 'buzzword' territory. This is in large part due to misuse and a simple misunderstanding of the topics that come with the term.

    Source: HOB
    32697
  • Why Doing Job In Data Science Is Not Just A Numbers Game

    Maths is a major part of entering the field of data science but there's a lot more to it than that. When it comes to data science, there is a world of possibilities for those who want to enter the industry.

    Source: HOB
    32100
  • Learning Algebra can be a great Data Science skill.

    The aim of these notebooks is to help beginners/advanced beginners to grasp linear algebra concepts underlying deep learning and machine learning. Acquiring these skills can boost your ability to understand and apply various data science algorithms.

    Source: HOB
    8640
  • Introducing Data Science In Healthcare Industries

    There is no more field left by Data Science as with the help of Data Analytics the medical science will move to the new level from computerizing medical records to drug discovery and genetic disease exploration. Data Science and medicine are continuously developing and it is important that they both will advance together.

    Source: HOB
    5901
  • Introducing Data Science In Healthcare Industries

    There is no more field left by Data Science as with the help of Data Analytics the medical science will move to the new level from computerizing medical records to drug discovery and genetic disease exploration. Data Science and medicine are continuously developing and it is important that they both will advance together.

    Source: HOB
    15048
  • Know how Data Science is different from Web development.

    Data science is interdisciplinary science if data analysis uses statistics, algorithm construction, and technology. With the recent trends in Data Science such as machine learning and artificial intelligence, more and more companies want to invest in a Data Science team to better understand their data and make sound decisions.

    Source: HOB
    5370
  • How to Prepare to Get Your First Data Science Job - A Guide

    With the demand for data scientists exceeding supply by 50 percent to 60 percent, there is a pressing need for more talent in organizations. And you can use that your advantage to establish a wonderful career. So, yes, snagging a data science job is certainly an excellent idea.

    Source: HOB
    9081
  • The Amazing Guide To Starting Artificial Intelligence Step-By-Step

    Many teams try to start an applied Artificial Intelligence project by diving into algorithms and data before figuring out desired outputs and objectives. Unfortunately, that's like raising a puppy in a New York City apartment for a few years, then being surprised that it can't herd sheep for you.

    Source: HOB
    11316
  • How Will You Be Get Hired As A Data Scientist? In short Analysis Of My LinkedIn Messages For Data Scientist

    There is a ton of stats being thrown around in regards to jobs within the data science field: the number of open positions, high median base salaries, unmet market needs, etc

    Source: HOB
    14118
  • Know how Data Science is different from Web development.

    Data science is interdisciplinary science if data analysis uses statistics, algorithm construction, and technology. With the recent trends in Data Science such as machine learning and artificial intelligence, more and more companies want to invest in a Data Science team to better understand their data and make sound decisions.

    Source: HOB
    7644
  • 2018 Salaries Of Data Scientists Report Highlights: Burtch Works Study

    The just-published 5th-annual Burtch Works Study, Salaries of Data Scientists provides fresh insights into the compensation trends for those holding the sexiest job of the 21st century:

    Source: HOB
    11826
  • How to Make a Decision Which Data Science Projects to Pursue

    In 2018, every organization has a data strategy. But what makes a great one? It's harder to tell the difference between a modest success and excellence. Indeed, in data science

    Source: HOB
    14289
  • How to Get a Machine Learning Opportunities, Even If Yourn't a Data Scientists

    Artificial intelligence is no longer just a niche subfield of data science. Tech giants have been using AI for years: Machine learning algorithms power Amazon product recommendations, Google Maps, and the content that Facebook, Instagram, and Twitter display in social media feeds. But William Gibson's adage applies well to AI adoption: The future is already here, it's just not evenly distributed.

    Source: HOB
    27687
  • Get Hired WithThese Popular Tensor Flow And Machine Learning Courses

    Artificial Intelligence, Data Science, and Machine Learning all are very popular technologies in this technological world. All companies are leveraging these technologies and getting best out of it and Tensor Flow, Google's Machine Learning API, which are used to develop the Rank Brain algorithm for Google Search.

    Source: HOB
    11535
  • 4 Best Reasons Data Scientists are Excited to Change Jobs

    The US could have as many as 250,000 open data science jobs by 2024 (InfoWorld), and the data science skills gap will find companies scrambling to train or hire talent in the coming years. So, the war for data science talent is real.

    Source: HOB
    28482
  • Understanding The Term Big Data, Data Science & Data Analytics On the Basis of Their Applications, Skills And Salaries

    Data is everywhere. It is the most important resource in today's world and every organization is busy in collecting the huge amount of data. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012.

    Source: HOB
    25545
  • Understanding The Term Big Data, Data Science & Data Analytics On the Basis of Their Applications, Skills And Salaries

    Data is everywhere. It is the most important resource in today's world and every organisation is busy in collecting the huge amount of data. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012.

    Source: HOB
    4950
  • Understanding The Term Big Data, Data Science & Data Analytics On the Basis of Their Applications, Skills And Salaries

    Data is everywhere. It is the most important resource in today's world and every organisation is busy in collecting the huge amount of data. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012.

    Source: HOB
    4938
  • 5 Best and Easy Data Visualizations in Python with Code

    Data Visualization is a big part of a data scientist's jobs. In the early stages of a project, you'll often be doing an Exploratory Data Analysis (EDA) to gain some insights into your data.

    Source: HOB
    15069
  • Do Data Scientists Really Deserve The Salary Growth as They Get Now?

    Data scientists who find themselves straying too far away from technical work may quickly find their skills out of date and unmarketable in today's climate.

    Source: HOB
    8253
  • Top 100 Free Online Data Science Resources & Tools to Learn Data Science in 2018

    Top 100 Data Science Resources & Tools For 2018 Whether you're just getting started in data science, or are gearing up to get a Masters in Data Science or Business Analytics, there's always more to learn. This guide gathers 2018's top data science resources on the web for learners of all stages.

    Source: HOB
    36243
  • List of Free Learning Resources for Data Science, Machine Learning & Big Data: According to Github

    This list contains free learning resources for data science, machine learning and big data related concepts, techniques, and applications. Inspired by Free Programming Books.

    Source: HOB
    81681
  • What I Have Learned, Analyzing 80 Job Rejections With Python Language

    We've all gotten those emails at one point or another. You know, the ones that start with "Thank you for your interest" and end with shattered dreams and self-doubt. Okay, maybe that's a bit extreme. Nonetheless, getting job rejections can be difficult.

    Source: HOB
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  • 80+ Online Resources & Tools to Become a Data Scientist

    Harvard Business Review has regarded data scientist as the sexiest job of the 21st century. One of the best free web data scraping tool, we aggregated the resources and tools that you may need to become a data scientist.

    Source: HOB
    21660
  • You Current Job Getting You Down? Python Could Be Your Escape

    If you're looking for a change of pace, learning to code in Python might the way forward. Coding offers different opportunities, good pay, and possibly the chance to work from anywhere on your own schedule. Coding is also one those future-proof jobs; until the machines take over anyway.

    Source: HOB
    37035
  • Frequently Asked Deep Learning Questions During Interview Round By Professionals

    Deep learning is one of the hottest topics of this industry today. Deep Learning is evolving and it is top of the Data Science world. Deep Learning has led to amazing innovations, incredible breakthroughs, and we are only just getting started. A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.

    Source: HOB
    24963
  • Devil in Detail: Data Science vs Artificial Intelligence vs Machine Learning vs Deep Learning

    When an intern asked me what the difference was between artificial intelligence, machine learning, deep learning, and data science. I began explaining, but couldnā??t quite ā?? it felt like I had provided an answer, but didnā??t do it right.

    Source: HOB
    79410
  • How I Processed Textual Data Using TF-IDF in Python Language

    Computers are good with numbers, but not that much with textual data. One of the most widely used techniques to process textual data is TF-IDF in Python. In this article, we will learn how it works and what are its features.

    Source: HOB
    11943
  • Top 5 Vast Difference Between Big Data Vs Machine Learning

    Difference Between Big Data and Machine Learning- Data drives the modern organizations of the world so don't be surprised if I call this world a data-driven world.

    Source: HOB
    16194
  • How to Become a Data Science Leader in Industry? Do The Maths

    Deirdre Dempsey has decades of experience dealing with data analytics, data science stemming from a strong foundation in mathematics.

    Source: HOB
    8499
  • Know How Data Scientists Accomplish Their Data Science Projects?

    If you want to become more data driven than you should have good understanding of all the languages and you're supposed to be master in Data Science field as well. Building the first data project is actually not that hard only you should know the basic steps and categorize them from raw data to building a machine learning model.

    Source: HOB
    13332
  • Want To Earn More Than Learn More of These Programming Languages: Python, R or SQL

    Data Scientist, it is one of the professions that have well paid bucks. But most of the time the paychecks comes down to the programming language know to a Data Scientist, while most of the data scientist have skills for all three languages and probably more, it becomes hard to conclude which pays more and has more value to it.

    Source: HOB
    65835
  • 80 Awesome Data Science Books That Are Worthy Reading For Every Techies Guy

    Data science is probably the most popular concept nowadays. I believe that many people are looking for an entrance to get inside the industry, and I just happened to read an article that lists some great data science books that may be helpful for you.

    Source: HOB
    47187
  • 4 Reasons Why Python Isn't the Programming Language for Every Programmer

    Python is one of the most popular programming languages of recent years. Its clear syntax and readability make it the perfect coding language for beginners. It's forgivable to think that learning Python was essential given its wide usage.

    Source: HOB
    82533
  • Machine Learning Can Reach Heights With These Algorithms

    Machine Learning Algorithms are those that can learn from data and improve from experience, without human intervention. Learning tasks may include learning the function that maps the input to the output, learning the hidden structure in unlabeled data where a class label is produced for a new instance by comparing the new instance (row) to instances from the training data, which were stored in memory.

    Source: HOB
    17838
  • 5 Best Basic Statistics Concepts All Data Scientists Need to Know

    Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform a technical analysis of data. A basic visualization such as a bar chart might give you some high-level information, but with statistics, we get to operate on the data in a much more information-driven and targeted way. The math involved helps us form concrete conclusions about our data rather than just guesstimating.

    Source: HOB
    18537
  • As a Data Scientists using these 5 ingredients can be great in making your code.

    These tips should help data scientists work collaboratively to write good code and build models in a way that will be easier to productionize.

    Source: HOB
    12498
  • Network Analysis to Get Insight Into An Academic Field With python Programming Language

    Every year, at the beginning of November, an increased excitement can be felt within the scientific world. It's time the year's Nobel Prize winners are announced.

    Source: HOB
    14607
  • How Reinforcement Learning Will Be 2019's Biggest Demand In Data Science

    What will be the next thing to revolutionize data science in 2019? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    7869
  • Artificial Intelligence Revolution Hasn't Happened Yet Everyone Should Know. Why?

    Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and venture capitalists alike.

    Source: HOB
    11106
  • Top 8 Business Intelligence Books Will Make a Solid Foundation For Your Business Dashboard

    With big data being one of the business intelligence buzzwords of last few years, no wonder that publications on business analytics and dashboard design pile up in bookstores. You must be familiar with those trends and keep up with the developing technology, but who has time to read all those books?

    Source: HOB
    8472
  • Data Science The Backbone Of Artificial Intelligence

    Artifical Intelligence is a collection of data science technologies that at this point in development are not even particularly well integrated or even easy to use. In each of these areas however, we've made a lot of progress and that's caught the attention of the popular press.

    Source: HOB
    6186
  • Data Science The Backbone Of Artificial Intelligence

    Artifical Intelligence is a collection of data science technologies that at this point in development are not even particularly well integrated or even easy to use. In each of these areas however, we've made a lot of progress and that's caught the attention of the popular press.

    Source: HOB
    12348
  • Big Data Analytics Pentagon Every Data Scientist needs to avoid.

    For Data Scientists, mistakes help them become sharper and discover new data trends, but that doesn't mean mistakes in Big Data Analytics are not sometimes quite problematic.

    Source: HOB
    9414
  • What's Role Defined an AI Software Engineer in a Data Science Team?

    I recently joined the Enterprise Insight Studio team at Accenture's global center for innovation in Dublin as an Artificial Intelligence (AI) Software Engineering.

    Source: HOB
    18252
  • What Make Data Scientists More Focused Towards Their Roles And Responsibilities?

    Data science is a powerful tool and has the ability to transform the world. We are already seeing massive changes to the way industries work in the Western world and data science is powering that change. Data Scientists want is like any other employees: they want a good salary.

    Source: HOB
    5853
  • What Make Data Scientists More Focused Towards Their Roles And Responsibilities?

    Data science is a powerful tool and has the ability to transform the world. We are already seeing massive changes to the way industries work in the Western world and data science is powering that change. Data Scientists want is like any other employees: they want a good salary.

    Source: HOB
    7794
  • Why Python is the next level for Excel users?

    Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide. However, making a dent in the enterprise space is huge challenge.

    Source: HOB
    15252
  • If You Are a Data Scientist Then You Should Have These Apps In Your Mobile

    A collection of useful mobile applications that will help enhance your vital data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more. Data science and machine learning are evolving with their abilities to transform the world around you.

    Source: HOB
    62286
  • Web Scraping, Data Visualization, and Regular Expressions: Doing it all in Python

    A Small Real-World Project for Learning Three Invaluable Data Science Skills. As with most interesting projects, this one started with a simple question asked half-seriously: how much tuition do I pay for five

    Source: HOB
    20361
  • Top 20 Questions to Ask Prior to Starting Data Analysis

    It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving into the analysis

    Source: HOB
    11256
  • The One Most Important Theorem Every Data Scientist Should Know

    This article serves as a quick guide on one of the most important theorems that every data scientist should know, the Central Limit Theorem.

    Source: HOB
    18120
  • Why Everyone Should Not Be A Data Science Generalist

    I work at a data science mentorship startup, and I've found there's a single piece of advice that I catch myself giving over and over again to aspiring mentees. And it's really not what I would have expected it to be.

    Source: HOB
    42834
  • The Most Hottest & Colder Programming Languages In Banking Right Now

    The list of the most in-demand programming languages in banking isn't all that much of a surprise. Most every developer can rattle off the first three or four and may even get the order right. However, knowing which ones will be utilized the most in the future is a much more difficult task.

    Source: HOB
    42636
  • Is Blockchain About to Destroy a Centuries-Old Industry?

    Predictions abound about the myriad ways that blockchain will revolutionize the business worldā??-ā??from currency to transportation to banking to law. The most important effect that blockchain will have, however, is the one that gets the least attention.

    Source: HOB
    7257
  • Top 5 Best Hackathon Platforms All Data Scientists Should Participate Here

    Hackathons have become a new and efficient way of hiring professionals in areas of data science, AI and machine learning, especially for talent-starved mid-sized to smaller companies.

    Source: HOB
    35799
  • Why Data Science and Internet of Things Need each other?

    Businesses have been processing data for ages but the introduction of Internet of Things (IoT) has been a game changer. Data collected through IoT is analyzed using different techniques as compared to that collected traditionally.

    Source: HOB
    7512
  • Top 10 Best Executive Data Science Courses in India to Become Data Scientist Expert

    A Data Science primary survey was conducted in August through September 2018, where 961 current and past Data Science students from 18 cities in India gave opinions on data science courses they attended.

    Source: HOB
    185160
  • Levels Of Artificial Intelligence: Know In Which Level We Are Now At Present?

    The individual Data Science technologies that comes under Artificial Intelligence are all moving forward on different paths at different speeds, but all of those speeds are fast. So before you change careers or decide that your business needs some of that AI let's fly up and see if we can make out a larger pattern that will help us understand where we are and where we're going.

    Source: HOB
    15417
  • Can I force you to invest in Data Science? Read this.

    Data has become massively complex and encompassing. Contextualising insights, obtained from a multitude of sources, requires an expert eye.

    Source: HOB
    7494
  • 4 Best Ways To Apply Data Science Skills To A Career In Development

    The secret is out: Data Science. Machine learning, and other data visualization skills are invaluable tools if you want to work in development. But you didn't need us to tell you that - many of you are already programming away on Python or R, and diving into projects on Kaggle or DataKind.

    Source: HOB
    27129
  • How Hackathon Winners Apply Machine Learning to Minimize Rash Driving

    Hackathons have become the go-to method for machine learning developers and companies to innovate in tech and build great products in a short span of time. With tens of thousands of developers participating in hackathons across the globe every month, it's a great way to collaborate and work on solving real-life issues using tech.

    Source: HOB
    9888
  • How Uber Ride Killed My Brother, I Am Fixing It With Data Science Skills

    Almost two years ago missing safety features in the Uber App contributed to the death of my brother. I am a technical product manager and a data science engineer, I can fix this.

    Source: HOB
    18639
  • Machine Learning: The New Language Of Leadership Opportunity

    It is easy to get caught up in the hype of machine learning, artificial intelligence (AI), as the promise of this relatively new technology has been credited with saving everything from our health to our work life and even our planet. Realistically speaking, however, in many ways, we are still a long way off from achieving these promises.

    Source: HOB
    22959
  • How Companies Hiring Best Programming Language Developers For A Startup Product

    With the world accepting the fact that every company now is a tech company, no matter what its size or what product or service it offers, hiring the best programming language developers is crucial to survival.

    Source: HOB
    16752
  • Which Is Best Choice For Masters Degree Between Data Science & Business Analytics?

    Business Analytics is more suitable for folks who enjoy work which will involve leveraging both business and technical skills in order to create value for the clients. On the other hand, Data Science is a little bit heavier on the coding and technology. During the interview process for Data Science courses, you can expect to be grilled much more on your coding skills as compared to a Business Analytics program.

    Source: HOB
    66249
  • How Data Science Is Improving Higher Education to Develop Data Scientist Expert

    Increasingly, colleges and universities, as well as governments, are using data science to improve the ways educational institutions do everything from recruiting to engaging with students to budgeting.

    Source: HOB
    14001
  • 15 Ways Machine Learning Will Impact Your Everyday Life & Thinking Process

    Machine Learning and Artificial intelligence (AI) is now considered to be one of the biggest innovations since the microchip. AI used to be a fanciful concept from science fiction, but now it's becoming a daily reality. Neural networks (imitating the process of real neurons in the brain) are paving the way toward breakthroughs in machine learning, called "deep learning."

    Source: HOB
    24903
  • Ultimate Python Quickstart Guide For Data Science

    This quickstart tutorial will get you set up and coding in Python for data science.

    Source: HOB
    51090
  • Know How Artificial Intelligence Is The Future Of The Businesses?

    Artificial Intelligence remains a much misunderstood technology, and many business leaders are either wary of it, or simply don't yet see how it applies to their business. Artificial Intelligence isn't all about robots and driver-less vehicles. Its potential for business transformation is huge, and to keep ahead of the competition you need to be thinking now about how your digital transformation strategy incorporates AI for future growth.

    Source: HOB
    11208
  • 6 Data Science & ML Books Every Data Scientist Should Keep Nearby

    The best way to stay in touch is to continue brushing up on your knowledge about data science while also maintaining experience. It's the perfect storm or combination of skills to help you succeed in the industry.

    Source: HOB
    46596
  • How to Handle & Manage Imbalanced Classes in Machine Learning

    Imbalanced classes put "accuracy" out of business. This is a surprisingly common problem in machine learning (specifically in classification), occurring in datasets with a disproportionate ratio of observations in each class.

    Source: HOB
    28644
  • If you are a Data Scientist These Books about R can be your Best Friend.

    Books are man's best friend, and for data scientists books on programming language are for sure a friend maybe not the best. This article covers a few books about the R programming language based on different categories.

    Source: HOB
    15654
  • Data Scientists: The Real Hero Of The Tech World

    The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.

    Source: HOB
    10386
  • Data Scientists: The Real Hero Of The Tech World

    The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.

    Source: HOB
    5976
  • Is Data Science Really of Any help to The World of Retail?

    This article presents top 10 data science use cases in the retail, created for you to be aware of the present trends and tendencies.

    Source: HOB
    10119
  • What the Future Business and Society Leaders need to understand about Data Science?

    The proverbial "Data Science Unicorn" who equally has mastered software development, data science, and business. That's like seeking Major League Baseball prospects who are both outstanding infielders and outstanding pitchers.

    Source: HOB
    8061
  • Future Through The Eyes Of Data Science

    Once the Business Intelligence reports and dashboards have been prepared and insights which are extracted from them, this information becomes the basis for predicting future values. And the accuracy of these predictions lies in the methods used.

    Source: HOB
    23397
  • Top 9 Mistakes Will Never You Get Success in Data Science Career

    If you wish to begin a career in data science, you can save yourself days, weeks, or even months of frustration by avoiding these 9 costly beginner mistakes.

    Source: HOB
    60972
  • How to Learn Math for Data Science & ML, The Self-Starter Way

    Do you need to have a math Ph.D. to become a data scientist? Absolutely not! This guide will show you how to learn math for data science and machine learning without taking slow, expensive courses.

    Source: HOB
    10461
  • Why R Programming Is The Best For Data Science?

    Since its inception, the programming language R has been one of the leading preferences for Data scientists & researchers and statisticians. R is a GNU package which was appeared in late 1993; it is a free software environment for statistical computing. In recent years R's popularity has increased exponentially due to advancements in Data analytics field.

    Source: HOB
    17010
  • The Next Change in Data Science And Machine Learning With Automation

    We have listen and read many times that how automation will affect our future. It can be classified into one of two narratives. The first one is that it will definitely lead to a better future, as it always had since the industrial revolution. Of course, some people will lose their jobs, but as history shows, new jobs will be created. And not just new jobs, but better jobs.

    Source: HOB
    13821
  • The end of 2018 is near so here are some python libraries for Data Science for this year.

    The selection actually contains 20 libraries, as some of them are alternatives to each other and solve the same problem. Therefore we have grouped them as it's difficult to distinguish one particular leader at the moment.

    Source: HOB
    14109
  • What Make Professionals To Predict About Artificial Intelligence & Big Data Technologies?

    The Artificial Intelligence environment and the Data that powers it, look very different from a year ago. The predictions below broadly consider the public landscape over the coming year, some of the challenges to consider and how to keep things moving in the right direction.

    Source: HOB
    6741
  • A walk with the Progress of Data Scientist in the last century.

    At the root of every model been built, even the simplest, was a solid understanding and foundational rigor of statistical theory. When computing simple statistics or developing descriptive models, the math behind the model, and how this would impact the formation, application, and interpretation.

    Source: HOB
    8235
  • What We Will See As A Future: Algorithm Or Code?

    The current 'big data' era is not new. There have been other periods in human civilisation where we have been overwhelmed by data. By looking at these periods we can understand how a shift from discrete to abstract methods demonstrate why the emphasis should be on algorithms not code.

    Source: HOB
    6945
  • 10 High Paying Technologies and Programming Language, Programmers Can Learn in 2018-2019

    You can choose one of the technologies or programming language from this list to learn in 2018 and can switch to a high paying job in 2018 or 2019.

    Source: HOB
    149733
  • A Guide & Movement For Software Engineers to Make Career Into Data Science

    Here's what data scientists do, how they work, how to collaborate with them, and how software developers can build up their own data science skills.

    Source: HOB
    25356
  • Data scientists Are key To Reaping IoT Value In 2019. How?

    The key to creating real business value from data gathered by the Internet of Things lies with including data scientists at every step of IoT implementation.

    Source: HOB
    10008
  • Why So Many Data Scientists are leaving their jobs, 4 Most Important Reasons

    Here are 4 main reasons data scientists may become dissatisfied with their jobs. Data professionals choose the career path of data science for the complex problem solving, the cool new machine learning algorithms and the expected impact their work will have on real business problems. However, this is often not the case.

    Source: HOB
    147636
  • Most Popular Machine Learning Algorithm For Your Regression Problem

    When approaching any type of Machine Learning (ML) problem there are many different algorithms to choose from. In machine learning, there's something called the "No Free Lunch" theorem which basically states that no one ML algorithm is best for all problems.

    Source: HOB
    18507
  • Know How Data Science And Machine Learning Provide Financial Solutions To Companies?

    In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies.

    Source: HOB
    23205
  • Top 4 Important Reasons Data Scientists are Motivated to Change Jobs

    The World could have as many as 250,000 open data science jobs by 2024, and the data science skills gap will find companies scrambling to train or hire talent in the coming years. So, the war for data science talent is real.

    Source: HOB
    23502
  • Collection Of Popular Big Data Tools On The Basis Of Popularity, Usefulness And Features

    Big Data industry and data science evolve rapidly and progressed a big deal lately, with multiple Big Data projects and tools launched in 2017. This is one of the hottest IT trends of 2018, along with IoT, blockchain, Artificial and Machine Learning.

    Source: HOB
    25254
  • Statistics: The Real Part Of Data Science Know With These Popular Books

    Statistics is difficult. Of course it is, as mostly that's the actual science part in Data Science. But it doesn't mean that you couldn't learn it by yourself if you are smart and determined enough. These books are really good for setting your mind to think more numerical, mathematical and statistical. They also present why statistics is exciting really well.

    Source: HOB
    13317
  • 5 Most Popular Books Every Data Scientist Should Read That Are Not About Data Science

    Today aspiring data scientists are encouraged to learn a mind-boggling array of modeling techniques. Each method, like linear-regression for example, has its own set of philosophies you inherently agree with by its use (knowing or unknowingly).

    Source: HOB
    27801
  • Is The Python Perfect Tool For Any Problem?

    Reflection is always helpful (and sometimes entertaining ) I wanted to share my first Python program. I initially picked up Python as an aerospace engineering student to avoid spreadsheets and little did I know how good a decision this would turn out to be.

    Source: HOB
    23715
  • What all in Data Science can help Improve the Financial sector?

    To help you answer these questions, we have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions.

    Source: HOB
    6621
  • Start on the right foot to position yourself for a future career in machine learning

    With input from Florian Douetteau, CEO of Dataiku, here are some things you can start doing today to position yourself for a future career in machine learning.

    Source: HOB
    5211
  • Top 10 Reasons To Learn Data Science & Get Highest Salary

    The topmost IT employment of the moment is Data Scientist. Data science is a very sought after course to learn. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject.

    Source: HOB
    18495
  • Should Clear With These Listed Points While Choosing Your Career As A "Data Science"

    Learning data science can be intimidating. Specially so, when you are just starting your journey. Which tool to learn R or Python? What techniques to focus on? How much statistics to learn? Do I need to learn coding? These are some of the many questions you need to answer as part of your journey.

    Source: HOB
    34254
  • These Data Science & Machine Learning Tools Are The Helping Hand For Those Who Don't Know About Programming

    Programming is an integral part of data science. Among other things, it is acknowledged that a person who understands programming logic, loops and functions has a higher chance of becoming a successful data scientist.

    Source: HOB
    10089
  • A Complete Genetic Algorithm Tutorial For Python

    Drawing inspiration from natural selection, genetic algorithms (GA) are a fascinating approach to solving search and optimization problems. Little has been done to show a step-by-step implementation of a GA in Python for more sophisticated problems. That's where this tutorial comes in! Follow along and, by the end, you'll have a complete understanding of how to deploy a GA from scratch.

    Source: HOB
    19161
  • No Language Skills, No Problem: This 6-Day Course Teaches You Data Science & Analytics

    You're probably aware of this by now: data science and data analytics are the skills to have in this day and age.

    Source: HOB
    11823
  • What's Differences Between Artificial Intelligence & Machine Learning - Why Is IT Matters

    There is a lot of confusion between artificial intelligence and machine learning. Based on some articles that I have been reading, a lot of people still refer to AI and machine learning as equivalent words and utilize them reciprocally.

    Source: HOB
    15558
  • 7 Most Important Key Skills Data Scientists Should Have In Their Mind & CV

    There are some key skills that go in a resume which make for a good and professional data scientist.

    Source: HOB
    45948
  • 9 Important Things You Should Know About TensorFlow

    This morning I found myself summarizing my favorite bits from a talk that I enjoyed at Google Cloud Next in San Francisco, What's New with TensorFlow?

    Source: HOB
    16443
  • 50+ Most Popular Free Open Datasets for Machine Learning

    These free public datasets for a machine learning cheat sheet for high-quality datasets. These range from the vast (looking at you, Kaggle) or the highly specific (data for self-driving cars).

    Source: HOB
    23691
  • What's The Best Way To Learn The Programming Language R?

    As data becomes an ever larger part of work, for many people spreadsheets just are not enough. Programs like Microsoft Excel and Google Sheets are powerful tools, but they have limitations in terms of the amount of data you can work with, the kind of analyses you can do, and the types of charts you can make. When data users reach these limitations, the obvious next step is learning a programming language.

    Source: HOB
    46056
  • Why Data Science Team Building Is Very Important To Data Scientists?

    Since I've discussed the my journey into data science and given out some practical guides on how to get into data science...

    Source: HOB
    6615
  • How Automation Is Changing Data Science and Machine Learning Pattern

    Almost any article you read about how automation will affect our future can be classified into one of two narratives. The first one is that it will definitely lead to a better future, as it always had since the industrial revolution.

    Source: HOB
    42993
  • Tech's Biggest Companies Are Paying Huge Salaries For Scarce Artificial Intelligence Talent

    Tech's biggest companies are placing huge bets on artificial intelligence, banking on things ranging from face-scanning smartphones and conversational coffee-table gadgets to computerized health care and autonomous vehicles.

    Source: HOB
    23199
  • How To Go Into Data Science And Become Data Scientist Expert?

    Ultimate Q & A for Aspiring Data Scientists with Serious Guides. So...you want to become a data scientist? Cool. You're a self-motivated person who is very passionate about data science and bringing values to companies by solving complex problems.

    Source: HOB
    19650
  • Top 26 Big Data Certifications That Will Pay You High Salary

    Data scientists, data analysts, and data engineers are in high demand. Here are the big data and data analytics certifications that will give your career an edge.

    Source: HOB
    32427
  • Top 26 Big Data Certifications That Will Pay You High Salary

    Data scientists, data analysts, and data engineers are in high demand. Here are the big data and data analytics certifications that will give your career an edge.

    Source: HOB
    8172
  • Where Are Data Scientists Earning The Most Salary?

    Data scientists are really on a roll right now. For a role that barely existed five years ago, the demand for qualified data scientists has reached a fever pitch in the tech world. As a result, data scientist salaries can be quite lucrative if you end up with the right company or in a top location.

    Source: HOB
    11511
  • 35 Bad Programming Language Habits To Avoid At All Costs, Every Programmer Needs To Be Aware

    What are some bad programming language practices every programmer needs to be aware of in order to avoid them?

    Source: HOB
    62226
  • How DevOps Play Crucial Role For Data Science?

    DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.

    Source: HOB
    23340
  • Programming Language "Python" Is The Real Money Maker For Job Seekers

    A Python developer can make an average of $107,578 per year. That's pretty good, but many companies aren't looking for a "pure" Python developer they're looking to fill roles that require extensive knowledge of Python, but aren't full-time development gigs.

    Source: HOB
    27543
  • How to Deploy a Keras Deep Learning Model as a Web Application in Python

    Building a cool machine learning project is one thing, but at the end of the day, you want other people to be able to see your hard work. Sure, you could put the whole project on GitHub, but how are your grandparents supposed to figure that out? No, what we want is to deploy our deep learning model as a web application accessible to anyone in the world.

    Source: HOB
    37458
  • An Amazing Introduction to Power Analysis in Python

    Firstly, I introduce a bit of theory and then carry out an example of power analysis in Python. You can find the link to my repo at the end of the article.

    Source: HOB
    11523
  • The Death Of The Data Scientist, Everyone Should Know Who Is Not Data Science

    The Data Scientist Role Will Soon Meet the Same Fate as the Human Alarm Clock

    Source: HOB
    50343
  • We learn from our mistakes and what are the secrets data scientists learn from

    The job of the data scientist is solving problems. And some data scientists can't solve them. They either don't know how to, or are obsessed about the technology part of the craft and forget what the job is all about. Some get frustrated that "those business people" are asking them to do "simple trivial data tasks" while they're working on something "really important and complex".

    Source: HOB
    9051
  • Walk Alone With The Perfect Data Science Resume

    Breaking into the world of Data Science can be tricky, but writing a killer resume gives you a better chance of landing a job in this highly competitive field.

    Source: HOB
    45360
  • Should Know These Top Data Mining Tools For Your Business

    Data is absolutely priceless and the new gold for all businesses. But it is not a cake walk to analyze it as greater things come at a greater cost. With the tremendous growth in data, we need a process to extract useful insights from the raw data.

    Source: HOB
    9234
  • Is Python The Most Popular Language For Data Science & ML Only?

    Most popular programming languages like R and Python offer great value in bringing data science and machine learning jobs to successful completion.

    Source: HOB
    19167
  • Do You Really Want To Become A 'Data Scientist'?

    If yes, then the first step is to understand the basic terms and their usage of data science.

    Source: HOB
    74610
  • Is Deep learning The Final Frontier For Signal Processing and Time Series Analysis?

    People use deep learning almost for everything today, and the "sexiest" areas of applications are computer vision, natural language processing, speech and audio analysis, recommender systems and predictive analytics.

    Source: HOB
    16845
  • How to Spot a Machine Learning Opportunity, Even If You have not Tech Skills

    Having an intuition for how machine learning algorithms work- even in the most general sense- is becoming an important business skill. As Andrew Ng has written: "Almost all of AI's recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B)." But how does this work?

    Source: HOB
    13548
  • What Are The Most Popular Programming Languages for AI development?

    AI is a huge technology. That's why a lot of developers simply don't know how to get started and choose the best programming language. Also, personally, I've met a bunch of people who have no coding background whatsoever, yet they want to learn artificial intelligence.

    Source: HOB
    79527
  • Are You Trying To Change Careers or Get Your Start in Data Science?

    If you're someone who is looking to make a move to data science, there are some ways that you can polish your approach to get noticed during your job search.

    Source: HOB
    7470
  • How To Learn Data Science and Machine Learning On Mobile With CoCalc And Juno

    One of the most difficult things about learning a new skill is finding time to study. Being able to complete assignments in between meetings or while traveling can make all the difference in the ability to make regular progress.

    Source: HOB
    9024
  • Application of Machine Learning in Understanding Sentiment of a Conversation

    Chatbots are becoming the prime conversational interface for customer engagement and customer service. AI-powered chatbots are now able to converse with customers intelligently by extracting intents and entities accurately and responding to the queries through the implementation of advanced technologies like NLU (Natural Language Understanding) and NLG (Natural Language Generation).

    Source: HOB
    12597
  • How Data Science Can Enable Wholly New and Innovative Capabilities

    Data science can enable wholly new and innovative capabilities that can completely differentiate a company. But those innovative capabilities aren't so much designed or envisioned as they are discovered and revealed through curiosity-driven tinkering by the data scientists.

    Source: HOB
    6630
  • How Cyber-Security Will Be Benefited By Data Science?

    As cyber threats continue to evolve, data Science and machine learning are increasingly necessary for a strong cyber security strategy. Data science is the field which includes processes and systems to extract knowledge and insights from data in various forms, which is a continuation of data analysis fields as statistics, data mining, and predictive analysis.

    Source: HOB
    8544
  • Machine Learning: Few Tips to Overcome Crooked Data

    Every computer system uses machine learning as it has refined their performance on a definite task. Machine learning is mainly the overview of algorithms and closely concomitant to computers statistics which mainly focuses on predictive analytics. These algorithms are used in many applications, however, they do not work competently with imbalanced datasets. If you have gone through machine learning and data science, you might have faced problems related to imbalanced data.

    Source: HOB
    8472
  • The Secret For Success: Big Data & Cloud Computing!

    The Big data revolution and cloud computing are getting hype and companies are shifting the way they think the way of doing business to incorporate data that will drive their decision-making process. Business models keeps to grow on a constant basis and are presently targeting a system-wide transition based on a data-centric architecture.

    Source: HOB
    6243
  • Know What Would Be The Future Of Data Science?

    If you have doubt in your mind regarding the future of data science then definitely you are concerned the techniques and tools such as Python, Hadoop or SAS will become outdated or going ahead in a data science course will be beneficial for your career in the long-run or not.

    Source: HOB
    6834
  • What's The Mindset For Innovation With Data Science Function?

    Principles to nurture a healthy and innovative Data Science function. As organizations turn to digital transformation strategies, they are also increasingly forming teams around the practice of Data Science. Currently, the main challenge for many CIOs, CDOs, and other Chief Data Scientists consist in positioning the Data Science function

    Source: HOB
    7464
  • Using Machine Learning Tools To Find Employees Who Can Scale With Your Business

    Artificial Intelligence (AI) and machine learning are proving adept at discovering candidates' innate capabilities to unlearn, learn and reinvent themselves throughout their careers.

    Source: HOB
    8622
  • The 25 Most Popular Data Visualizations of 2018-19

    The art of making data beautiful is taking the world by storm. Data visualization experts and artists are creating amazing things in the world of data design every single day.

    Source: HOB
    10710
  • Demand for Data Science Engineers to Grow 40% by 2020; India Accounts <10% of Global Data Scientists

    According to a US Department of statistics report, demand for data science and data engineers is projected to grow around 40 percent by 2020. However, lack of talent in this space is likely to pose a bottleneck for companies to boost their revenue and small and start-up companies, in particular, will have to face a hard time competing with global majors.

    Source: HOB
    40314
  • For A Perfect Data Scientist The Knowledge Of Algorithm Is Necessary

    The field of data is concerned with mining the huge volume of data flowing into the organization's warehouses via effective and proper application of scientific and mathematical skills at the same time.

    Source: HOB
    7842
  • How To Increase Instagram Followers With A Simple Python Bot

    Growing an audience is an expensive and painful task. And if you'd like to build an audience that's relevant to you, and shares common interests, that's even more difficult.

    Source: HOB
    18603
  • How Machine Learning Algorithms Different From Traditional Algorithms?

    Machine learning is an algorithm or model that learns patterns in data and then predicts similar patterns in new data.

    Source: HOB
    9081
  • Are Data Scientists & Front-End Developers Highest Paid Roles in Startups?

    Data scientists and front-end developers were the roles that received the maximum remuneration increases in startups in 2017. Both received an average salary increase of about 25% last year, compared to the year before, according to data shared by Bengaluru-based recruitment firm Belong.

    Source: HOB
    8394
  • Race and Ethnicity in Data Science - The Data Science Diversity Gap

    How diverse will a lucrative, growing field like data science be in the future?

    Source: HOB
    26520
  • Forget Data Scientists And Hire A Data Translator Instead: According To A McKinsey Survey

    A data translator is a conduit between data scientists and executive decision-makers. They are specifically skilled at understanding the business needs of an organization and are data savvy enough to be able to talk tech and distill it to others in the organization in an easy-to-understand manner.

    Source: HOB
    6276
  • What Does The Word Startup Mean In 2019?

    At a recent industry event, I had an unexpectedly heated conversation with an investment banker about the meaning of the word startup in today's world. As we argued, it became clear that there is no longer (if there ever was) a standard definition to indicate what someone means when they use the word startup.

    Source: HOB
    7545
  • How To Mobilize Your C-suite For Big-Data Analytics, ALL CXO Should Know

    Leadership-capacity constraints are undermining many companies' efforts. New management structures, roles, and divisions of labor can all be part of the solution.

    Source: HOB
    7734
  • Statistical & Mathematical Knowledge With These Books Is The Key To Get Hired As A Data Scientist

    The Data Science candidates hold a strong background in statistics and mathematics is the only criteria of being getting selected at Google. Not just Google, other top companies (Amazon, Airbnb, Uber etc) in the world also prefer candidates with strong fundamentals rather than mere know-how in data science. If you are also interested to work with top brands than it is essential to develop your mathematical understanding of data science.

    Source: HOB
    12402
  • Data science: It is the way towards the betterment of business values

    In this generation, data is increasing with a great speed and data science has become the most accepted discipline of proficiency. Internet serves you with multiple sources of information on many websites. To make a better use of the data, data science started with statistics. To deal with the issues and provides the solution to the problems, at the later parts algorithms were introduced. The age of digital media and computers has started then. Every data was computerized which became a way to develop artificial intelligence and data analysis.

    Source: HOB
    6495
  • How Software Engineers Become Key Players In Data Science Engineer

    Data science deals with data and prediction and it is often not obvious what a software engineer has to do with this data-centric or data-driven team.

    Source: HOB
    13173
  • So, Is Your Machine Learning Algorithm Not Working?

    Let's imagine it's a fine afternoon and you have written even a finer machine learning algorithm for your model and you expect that it will give you correct results. At this point, if you find something's terribly wrong in the prediction then you are in the right place.

    Source: HOB
    16122
  • Is Python Programming Language the Perfect Solution Tool for All Problem?

    My Python education began with the book Automate the Boring Stuff with Python by Al Sweigart, an excellent application-based book with simple programs to do useful tasks.

    Source: HOB
    30027
  • Data Science The Trending Career In The World And Know The Path To Become A Successful Data Scientist

    Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.

    Source: HOB
    39645
  • Data Science Is Most Important Expertise for Future Finance Team: Global Finance Leader Study

    As technology redefines how work is done, finance leaders are having to rethink what constitutes finance talent. The successful finance workers of the future will need skills that are not commonplace in the function today. What are the emerging roles and skill sets of the future finance function?

    Source: HOB
    11001
  • How Cloud Will Elevate Data Science & Algorithms

    Ranked No. 1 overall as the best job in America by Glassdoor, data scientists have quickly risen in prominence and critical importance within organizations.

    Source: HOB
    7476
  • Stepping Into Data Literacy At An Early Phase Will Benefit You In Future

    Is data literacy necessary in youngsters, the solution is affirmative as a result of data is currently a component of daily life. It's nearly become a responsibility of the typical subject to possess some level of data literacy and understanding. Apparently, this analysis paper argues that young learners have the power to figure with complex data sets if they're supported within the right method and if the tasks are grounded in real-life context.

    Source: HOB
    9663
  • Can Companies Use Data Science Tools Without Hiring A Data Scientist? 5 Ways

    Companies that fail to apply data science will be at a competitive disadvantage, according to Deloitte. Here's how to take advantage of new tools, staffing models, and training strategies.

    Source: HOB
    22977
  • Top 6 Goals Every Data Scientist Should Make Plan For 2019

    Looking to embark on a new path as a data scientist? That goal may be worthy, but it's essential for people to also set goals for 2019 that will help them get closer to that broader aim.

    Source: HOB
    41361
  • Top 5 Key Data Science Job Market Trends in 2019

    As a data scientist - or someone interested in the field - you know the industry is constantly evolving. If you want to remain competitive, you need to keep up with popular trends.

    Source: HOB
    31461
  • How To Kick Start Your Data Career! Tips From the Frontline

    I am going to provide very interesting and useful tips through this blog series which will help students to kick-start their career in Data.

    Source: HOB
    10719
  • Major Throwback For The Year 2018 In Big Data, Data Science And Artificial Intelligence Space!!

    As 2018 comes to a close, it's worth taking some time to look back on the major events that occurred this year in the big data, data science, and AI space. Data security continued to be a major topic in 2018, particularly as the rash of big data breaches continued.

    Source: HOB
    17469
  • Future prediction of data visualization

    Over the last decades, there is dramatic evolution in data visualization. Several organizations have software which is highly experienced which easily helps to show the huge data which they already have. Data is presented through highly engaging and influencing designs which helps in making the decision makers believe for the logical developments which are made from that data. For users, it draws a response which is impactful which helps them to easily perceive the perceptions which are discovered or presented. Data visualization has got importance across organizations through these capabilities.

    Source: HOB
    8232
  • An inclusive guide to digital marketing for professionals

    The biggest challenge of entering into the digital analytics field is that the digital marketing landscape is really difficult. There are very fewer professionals having the experience of both the worlds which is data science and digital marketing.

    Source: HOB
    12195
  • Why There Is A Demand For Proficient Data Scientist And How The Data Science Course Looks Like?

    There's clearly a shortage of data scientists to help companies use more of their data, so pursuing a career in the field puts today's students at a distinct advantage when it comes to staying away from the unemployment lines after graduation. Data science is fast becoming one of today's most in-demand careers, and in fact, the prescient Harvard Business Review declared data science as the sexiest career of the 21st century six years ago.

    Source: HOB
    31464
  • What's Really Behind Blockchain's Success Learned From 30 Blockchain CEOs

    When I reached out to over 30 CEOs running blockchain startups across the world, I wasn't expecting anyone to respond.

    Source: HOB
    12144
  • Learn & Become Data Scientist Here My Data Science Horror Story

    Lessons I learned from a big text-to-speech model flub. There is an apocryphal story in text-to-speech circles about a researcher spending months or years refining their speech-generation model, making the speech samples sound better and better, day after day, only to discover that they'd accidentally been listening to the same audio file the entire time and had merely been attuning themselves to it. That story still sends shivers down my spine when it is retold.

    Source: HOB
    19479
  • New Drifts For Data Science Technology In The Coming Year

    Data science covers an unlimited network of topics below its umbrella as well as Deep learning, IoT, AI, and numerous others. It's a comprehensive consolidation of information illation, analysis, formula computation and technology to unravel multifarious business issues.

    Source: HOB
    20592
  • What Strikes On Your Mind While Talking About Top Merchants For Data Science And Machine Learning?

    The analytics and business intelligence marketplace are crowded as ever. The scope of what constitutes analytics package could be a bit muzzy, and this makes choosing the simplest doable metal tool a frightening task. Modern tools cover way more than heritage reportage, with capabilities starting from information integration and information preparation to information quality, governance, and even machine learning.

    Source: HOB
    8403
  • How to Learn Data Science and Staying Motivated For New Challenge

    Advice on how to be more consistent in your educational journey for data science. Over the last few weeks, I've taken a break from writing to focus on applying to internships. But as I was driving to class today, a question began to bother me.

    Source: HOB
    14661
  • Why Machine Learning Is The BEST Field In The World: Everyone Interested

    It's Fascinating, Diverse, Not Magic, Creative, Science and Free! A few years ago, when I was a junior software engineer, I worked on a problem with one of our machine learning algorithm developers.

    Source: HOB
    11172
  • How To Enhance Jupyter Notebooks for Data Science?

    Enhance Jupyter Notebook's productivity with these Tips & Tricks for data science. Reimagining what a Jupyter notebook can be and what can be done with it.

    Source: HOB
    45237
  • Which Are The Best Programming Language For Machine Learning?

    Q&A sites and data science forums are buzzing with the same questions over and over again: I'm new in data science, what language should I learn? What's the best programming language for machine learning?

    Source: HOB
    29265
  • Why We Need to Forget 'For-Loop' for Data Science Code And Embrace Vectorization

    Data science needs fast computation and transformation of data. NumPy objects in Python provides that advantage over regular programming constructs like for-loop. How to demonstrate it in a few easy lines of code?

    Source: HOB
    9249
  • Reinforcement Learning The New Drift For Data Science

    Reinforcement Learning (RL) could be a machine learning methodology that empowers a specialist to be told in Associate in Nursing intuitive setting by activity trial and error utilizing observations from its terribly own activities and encounters.

    Source: HOB
    12582
  • Making Machines More Intelligent With These Machine Learning Theorems

    The last century has seen tremendous innovation within the field of arithmetic. New theories are postulated and ancient theorems are created sturdy by persistent mathematicians. And that we are still reaping the advantages of their thorough endeavors to make intelligent machines.

    Source: HOB
    11811
  • Data Continue To Drive Business Transformations in 2019

    Data will continue to drive business transformations in 2019. Here are three trends that could change the business landscape over the coming year and tips to help you prepare for them. As we prepare for 2019, it's a good time to look back and reflect on the effect that data has had on global business during this past year and what might be in store in the year ahead.

    Source: HOB
    12741
  • 30 Data Science Punchlines, All Data Scientist Should Use

    A holiday reading list condensed into 30 quotes about data science

    Source: HOB
    33489
  • 45 Free Online Classes For Programming Language, Design & More You Can Take & Finish By The End Of 2018

    No matter where you're at in your career, learning something new skills like a programming language, Design, Communication, AI, ML, DS can only help you.

    Source: HOB
    76878
  • As A Software Engineer, Worked With A Data Scientist. Here's My Experience About Data Science

    I am an Android Engineer, and this is my experience working on ML projects with our data scientist.

    Source: HOB
    10044
  • Few applications of deep learning for a beginner (using Python)

    Deep learning seems to be leading as in data science as it is more researched. There are many applications which can help you build a save future as predicted by the data scientist. Deep learning looks hard and intimidating. Applications like TensorFlow, Keras, GPU based computing might scare you but in reality, it is not too hard and its take time effort and time to follow, and applying these applications in regular problems is easy.

    Source: HOB
    29823
  • How I Developed A Machine Learning Model From Scratch

    In this article, we are going to study in depth how the process of developing a machine learning model is done. There will be a lot of concepts explained and we will reserve others that are more specific to future articles.

    Source: HOB
    18642
  • Predictions for 2019 in Data Science, Analytics, and AI

    This year's round-up of predictions from industry figures yields wisdom in Data Science, AI, data regulation, data governance, the state of the Hadoop market, open source and "the edge."

    Source: HOB
    18021
  • Why Data Analysis Is Important And List Of Jobs That Require Data Analysis?

    Is it really so that data science and analysis positions are usually the toughest ones for an organization to fill? Due to exploding demand for data professionals, there are a lot of open positions and not enough candidates to fill them. However does one recognize if data analysis is a few things that may interest you? And the way are you able to begin a career in data analysis if you've got no background in it?

    Source: HOB
    26064
  • 5 Tech Skills & Programming Language That Will Help You Earn More In 2019

    When it comes to landing a high-paying job, the thing that counts the most is the programming language practical skills you possess.

    Source: HOB
    16089
  • Top 5 Data Science & Technology Trends To Watch In 2019

    Data science covers a vast network of topics under its umbrella including Deep learning, IoT, AI, and various others. It is a comprehensive amalgamation of data inference, analysis, algorithm computation and technology to solve multifaceted business problems.

    Source: HOB
    17196
  • An Easy Guide For Machine Learning Model Interpretation

    A comprehensive guide to interpreting machine learning models. Interpreting Machine Learning models is no longer a luxury but necessity has given the rapid adoption of AI in the industry.

    Source: HOB
    7644
  • Data Science & AI: What to Expect in 2019

    You can expect to see a lot of change and a lot of AI implementation in the field of data science in 2019

    Source: HOB
    12879
  • Data Science Roles & How They Interact In 2019?

    It's that time of year again when I look into the Crystal Skull...er, ball, and make some predictions of the continuing challenges and new trends I foresee in Big Data and Data Science for 2019.

    Source: HOB
    37698
  • 2019: A leading path for becoming a data scientist

    Wanted to build yourself? Yes. These paths help you to eliminate that workload which you have to do otherwise. There are a large number of resources which are overwhelming when you enter into data science. And for that, you have the learning path which gives you a success in the community. We have a complete path of learning to become a data scientist in 2019.

    Source: HOB
    22869
  • Evolution Of Data Science In Cybersecurity And Big Data Analytics!

    Data Science & Cybersecurity, what is big data analytics? Why is machine learning applications so important? Why did InfoSec Professionals require to learn about DS? What to know about "data bots" as a data science professional? Differences in data science vs machine learning? How to crack cybersecurity jobs with data science advantage?

    Source: HOB
    13158
  • Reasons why Indian Professionals Learn Data Analytics and AI Engineering?

    New digital technologies could bring over $150 billion (Rs10.7 lakh crore) to India's GDP by 2021. So, many Indian professionals are choosing to learn new skills in order to cash in on this economic transformation.

    Source: HOB
    7416
  • Data Science Is Easy To Learn, Is It So?

    Data Science is easy to learn or not? Can Anyone Be A Data Scientist? No, data science is not easy. It's just unshaped and not professionalized. By this I mean there are no standard sets of tools, no educational curricular, no certifying bodies, nor any specific career paths that lead to becoming a data scientist; yet all the essential bits are there and they're not easy to acquire, assemble or apply well. Yes, one can learn R and Hadoop and claim to be a data scientist, but that's far from the truth.

    Source: HOB
    12783
  • You are thinking of mastering in machine learning with data preparation? Go through it

    These days organizations look for the ways where they can prepare the data very quickly and appropriately for solving the challenges of data and enabling machine learning. The data should be cleaned and accurate it should be checked before the data is brought to the model of machine learning or any other project of analytics.

    Source: HOB
    48516
  • How To Automated Deep Learning - So Simple Anyone Can Do It

    There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platforms that offer Automated Deep Learning (ADL) so simple that almost anyone can do it.

    Source: HOB
    35097
  • Should Every Data Scientists Know How To Write Production Code?

    Here is the cheesy part (feel free to skip it if necessary)ā??-ā??2018 is the year of turning point in my life, and has been writing on Medium has proven to be one of my best decisions to share my experience and learning journey with so many data science enthusiasts and like-minded peopleā??-ā??like YOU.

    Source: HOB
    34872
  • 2019 Trends In Data Science, Machine Learning, and AI

    If you're someone who wants to use data, data infrastructure, data science, machine learning, and AI, we're really at the point where there are a lot of tools for implementers and developers.

    Source: HOB
    10434
  • Free Data Sources For Building Data Science Models

    On Everyday, every second huge amount of data is being generated on the Internet. As per IBM report, about 2.5 quintillion bytes of data is generated every day.

    Source: HOB
    13224
  • Learn Data Science Project Structure and Flow For Startups

    I was recently asked by a startup I'm consulting (BigPanda) to give my opinion about the structure and flow of data science projects.

    Source: HOB
    11973
  • Online courses on multiple sites for big data analysis

    Skills of data analytics have become the leading factor in terms of the advanced development and for the career perspective, the demand of the data analyst is increasing day by day. There are several online courses which you would prefer if you want to build your career as a data analyst as it will help you to learn the fundamentals of data science, the key tools of data science and the study of programming languages in the analysis of big data.

    Source: HOB
    13419
  • Top 10 Data Science Tools & Resource I Explored in 2018

    In 2018, I invested a good amount of time in learning and writing about data science methods and technologies.

    Source: HOB
    7413
  • Data Scientist Should Have These Applications In Their Mobile Phones

    Data Science and Machine Learning are changing the world and here with the help of following applications, one can easily increase their skills. And these applications can be accessed from anywhere and most important this didn't charge a single penny from learner's. These apps can improve your listening skills, logical skills, decision-making skills, mathematical skills, statistical skills and much more.

    Source: HOB
    22773
  • Some books which are not about data science but data scientists should go through it

    Over the past years, it was witnessed that data science is majorly used by everyone and there are rise and fall of some words like big data, business intelligence, analytics and these days artificial intelligence. Today there are many aspiring data scientists who are encouraged in learning the techniques of modeling. There are several books which will help a data scientist to get prepared philosophically.

    Source: HOB
    31884
  • Learn The Ecosystem, Not The Language For Data Science

    In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with the newest methods or to more effectively collaborate with coworkers.

    Source: HOB
    14286
  • Data Scientists Should Read These Books In 2K19

    All professionals I'm sure looking ahead to a new start and want to increase their data analysis skills. So here is the collection of books through which data scientist can sharpen up their knowledge and skills.

    Source: HOB
    11034
  • Educations forthcoming: The artificial intelligence Nanodegree program

    Across many industries, there are many large enterprises and businesses having the high performance which are tidily turning towards artificial intelligence and new analytics to make the decisions faster, productively and data-driven.

    Source: HOB
    6849
  • Become a Pro with some Machine Learning and Deep Learning Courses

    Willing to master in machine learning and deep learning? So make a career in the recent and most demanding subject today. The future will be in your own palms.

    Source: HOB
    18645
  • What Set Of Skills Recruiters Must Check When They Hire The First Data Scientist For Their Organisation?

    However, you soon figure out that it is infinitely more challenging to hire a data scientist compared to a software developer, perhaps because of the following three reasons.

    Source: HOB
    12333
  • How To Build Great Looking Data Visualization in Python

    How to make great-looking, fully-interactive plots with a single line of Python. The sunk-cost fallacy is one of many harmful cognitive biases to which humans fall prey.

    Source: HOB
    15414
  • Most Used Programming Languages and Recommended by Data Scientists Expert

    The practice of data science requires the use of analytics tools, technologies, and programming languages to help data professionals extract insights and value from data.

    Source: HOB
    28482
  • How To Deploy Keras Deep Learning Models With Flask

    This post demonstrates how to set up an endpoint to serve predictions using a deep learning model built with Keras. It first introduces an example using Flask to set up an endpoint with Python, and then shows some of the issues to work around when building a Keras endpoint for predictions with Flask.

    Source: HOB
    19653
  • Is Spiking Neural Network The Next Generation Of Machine Learning?

    Everyone who has been remotely tuned in to recent progress in machine learning has heard of the current 2nd generation artificial neural networks used for machine learning.

    Source: HOB
    21594
  • What Are The Questions for Data Scientists And For What Courses They Have To Enroll?

    Data scientists are increasingly important to organizations as decisions become more data-driven. You need to be able to tell the real and talented data scientists from a charlatan who talks the talk. Here are five questions every data scientist should be able to answer.

    Source: HOB
    6921
  • Matlab For Data Science And Learn Matlab From Free Online Courses

    Data Science is one in every of the quickest growing fields in India and Matlab comes with really easy learning. Matlab, the programing language developed by MathWorks that is an appropriate platform for predictive analysis and is simple to implement new options.

    Source: HOB
    9579
  • How Does Data Science Influence Everyday Life For The Better

    Let's be honest, today "big data" is sort of a dirty word in the public consciousness. It is associated closely with profit maximization techniques (such as recommendation lists on e-commerce sites and targeted ads), high-profile data leaks and privacy issues.

    Source: HOB
    33276
  • Must Aware With The Emerging Role Of Data Science In HR

    The word "Data Science" needed to solve complex problems. While data scientists collect, mine, analyze, structure and present data to help organizations identify trends and root causes and ultimately drive strategies that will impact the bottom line.

    Source: HOB
    10737
  • Which One Programming Language Is Better For Data Science Python or R?

    As requested, I'm publishing this guide for those wishing to choose between Python and R Programming languages for Data Science. You may be new to Data Science or you need to pick one choice on a project, this guide will help you.

    Source: HOB
    96150
  • 8 Easy Steps To Learn Data Science in 2019

    Want to learn data science? Check out these 8 easy steps to set out in the right direction!

    Source: HOB
    23859
  • If You Are A Fresher Than Kickstart Your Career With The Most Popular Programming Language-PYTHON

    Python is the programming language amongst all which is gaining popularity the most. People interest shifted towards Python and all are learning this language. I learned HTML and CSS however, currently, I'm trying to find a language that I will use for more than internet development.

    Source: HOB
    7584
  • Avoid Mathematics: Learn Data Science and Machine Learning

    Today, the most desirable career option seems to be a data scientist and machine learning, as every individual either it is a college-going student or a professional is looking to switch their career onto data science.

    Source: HOB
    8154
  • Best online Data Science Courses To Learn & Get Job

    According to the report of U.S Bureau of Labor Statistics, the rise of Data Science needs will create 11.5M job openings by 2026.

    Source: HOB
    47622
  • MUST KNOW! Features of Automated Machine Learning

    When you are building with the models of machine learning, you follow some best practices which are time-consuming but the important process. There are so many things for doing ranging from: data is being prepared, algorithms are selected and trained, preparing algorithms, understanding how decisions are being made, all the way down to deploying models to production.

    Source: HOB
    6135
  • To get a Job Learn Top 4 Programming Languages

    This video will show you the top four programming languages to learn in 2019 to get a job without a college degree. The way that I've ranked these languages they are based on three things number firstly, the time it takes even an absolute beginner to go from complete zero and ultimately getting a job without needing a college degree, Job Market: now this is the most important one you guys this is what you're here for the salary and how much money are you making? Productivity: how fast can you go from conception of an idea to a completely coated application that another person can use.

    Source: HOB
    19242
  • Having a problem in learning your first Programming Language?

    One of the hardest questions will face is when you start tackling programming, is what language should I learn first. Let us talk through some of the concerns that you might have, it feels like if you choose a language that you are making a final decision about what you're going to be doing for the rest of your life.

    Source: HOB
    59634
  • Awesome online Data Science Courses To Learn Data Science & Get Job

    The need for Data Scientists and Data Analytics in India too is increasing enormously with a number of openings left vacant in the past due to lack of the skilled candidates, according to a report.

    Source: HOB
    170379
  • Drawbacks through which Analytics Strategy stopped working

    There are multiple reasons why your analytics strategy might not be working. Here is the overview of why is it so and how you can overcome them.

    Source: HOB
    8172
  • Get To Know Who is Actually A DATA SCIENTIST

    With only heavy statistical background professional have proper experience in this domain and recruiters should hire data scientists, who have a rich and strong background and capable to do their job. You can do data science without statistics, Data science without statistics is possible, even desirable. Data science is about automating these boring tasks. And automating much more advanced tasks.

    Source: HOB
    29265
  • From The Bucket Of Different Data Science Languages, The Best One Is Python

    Your Ph.D. degree is a good opportunity for introspection and equally, your past experience or failures also gives you a good lesson that how you can improve. Learnings involve our all discoveries, mistakes, skills, and projects to make our future bright. We should not regard our past as an immature period but as an unfolding story.

    Source: HOB
    9525
  • How To Get Hired First Time As Data Scientist

    Have you recently been to a CIO Summit and learned the various ways in which data science can revolutionize your business? Are your competitor's building data products garnished with machine learning and your CEO feels that you should do the same? It is now time to hire your first superstar data scientist and get back into the game.

    Source: HOB
    10164
  • What Common Programming Languages Come To Our Mind When We Think Of Machine Learning?

    People are a little bit confused that which programming language they should learn and they follow. The answer is also difficult that which one should be ranked one so that everyone can focus on the languages. Here are programming languages used for machine learning according to my personal experience as a programmer.

    Source: HOB
    22434
  • Beginners should give an attempt to these Machine Learning Books

    There are people who love reading books but can't buy them as it is not affordable for them. And the books which are related to machine learning and data science are not even cost-effective. This would be quite fair as writing the books take a lot of effort and hard work in publishing that particular piece.

    Source: HOB
    7260
  • Why Will Not Be Data Science Job Titles By 2029?

    There will be no data science job listings in about 10 years, and here is why. There are no MBA jobs in 2019, just like there are no computer science jobs. MBAs, computer science degrees and data science degrees are degrees, not jobs. I believe the reason companies are hiring people into data science job titles is because they recognize there are emerging trends (cloud computing, big data, AI, machine learning), and they want to invest in them.

    Source: HOB
    9396
  • IBM's Research Report Shows New Path To Create 151K Data Scientist Jobs

    IBM announced it has developed a data scientist certification and apprenticeship program aimed at addressing a shortage of qualified applicants that has left 151,000 jobs open nationwide.

    Source: HOB
    13482
  • The Difference Between The Big 3 Terminologies: Data Science, Big Data And Data Analytics

    Data is gold and data is all around and the amount of data is increasing rapidly. According to IBM, 2.5 billion gigabytes of data was generated every day.

    Source: HOB
    17070
  • For Getting a Job in Top Companies like Google, Microsoft, etc which Programming Language should you learn

    We are going to talk about the top five programming languages to learn about getting a job at companies like Google, Facebook, Microsoft, etc.

    Source: HOB
    37035
  • Looking for Job, Growth, and Hike! Opt Data Science As Your Career

    This video will tell you about data scientists and jobs that fall in that category and how much money they make with the barrier of entry is. How many jobs there are? What the growth is for that category of a job?

    Source: HOB
    9417
  • Why Data Scientist Is The Most Stable & Promising Job In 2019

    Data scientists saw a 56% increase in job openings in the US over the past year, according to LinkedIn.

    Source: HOB
    66948
  • Data Science & Machine Learning Platforms Rapidly Changing At The Moment According To Gartner Report

    The tools used for data science are rapidly changing at the moment, according to Gartner, which said we're in the midst of a "big bang" in its latest report on data science and machine learning platforms.

    Source: HOB
    49461
  • Top 10 Data Science Skills To Land Your Highest Paying Dream Job In 2019

    In a 2017 business research article IBM predicted that the need for Data Scientists will increase by 28% by 2020, with nearly 3 million job openings for Data Science professionals.

    Source: HOB
    109842
  • What Are The Tech & Non-Tech Skills Required To Become A Data Scientist Expert In 2019?

    A data scientist is the #1 profession in America for 2019, according to Glassdoor. And that is not surprising, given the median base salary paid in the field is $123,000. Still, the data science job market is far from saturated, with an estimated shortage of 190,000 specialists in the US only.

    Source: HOB
    17073
  • Find Here: The Common Thread That Holds Top Technologies

    Now recently Gartner launched its top technology trends for 2K19. The common thread that holds every technology and trends are Artificial Intelligence, Augmented Analytics, Blockchain and many more and all these have the ability to turn data into a business asset. That future growth lies in the ability to turn data into something useful isn't a surprising revelation. But not every organization is equipped to make the most of its valuable information.

    Source: HOB
    7422
  • Data science Jobs Up 29% This Year 2019, These Cities Pay More Salary For Data Scientist

    Demand for data scientists continues to grow, as average salaries for these positions often soar over $100,000, according to Indeed.

    Source: HOB
    20997
  • Why Python Is In High Demand Programming Language for Data Science Not R

    There is significantly less job demand for data engineers proficient in R than those proficient in Python, according to a Cloud Academy report.

    Source: HOB
    98097
  • How I Became A Machine Learning Engineer & Got Job Soon: A Cheat Note

    If you are interested in pursuing a career in AI, Machine Learning and don't know where to start, here's your go-to guide for the best programming languages and skills to learn, interview questions, salaries, and more.

    Source: HOB
    68676
  • How To Make Data Science Career Transition In 5 Steps & Analytics Resume?

    You can't control luck. But the other two, you can. And here is how can (a) find and apply for the right job data science and (b) write the right resume.

    Source: HOB
    8658
  • An Interesting & Faster Method To Drastically Improve Data Science And Machine Learning Efficiency

    For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise. Data analytics and machine learning drive smarter business decisions, greater operational efficiency, and higher levels of customer satisfaction.

    Source: HOB
    8739
  • Easing Into Your Data Science Career Path - 10 Minute Video Can Change Your Data Science Life

    From entering an analytics career to becoming a trainer and mentor in analytics where I am able to inspire people to achieve their dream analytics job and inspire companies to capitalize on their data and insights -- my professional journey is of interest to many of my clients. They wonder how it all happened; what steps and obstacles I met along the way.

    Source: HOB
    85719
  • In Artificial Intelligence Experfy Is leading its Way in Freelancing. How?

    What will it take to bring AI mainstream? There are 3 major things like innovate and develop the technical expertise, the organizational skills should be implemented and this information should be used in our daily work and it should be widely invested by the leaders.

    Source: HOB
    8034
  • Is Blog Writing Make your Better Data Science Project Through Feedback?

    Writing creates opportunities, gives you critical communication practice, and makes you a better data scientist through feedback

    Source: HOB
    6480
  • Data Science Is The Pillar For An AI-Powered Enterprise

    For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise.

    Source: HOB
    8352
  • Data Science Is The Role That Is Giving Many More Opportunities In Professional World

    Data science is giving too many opportunities today in the professional world. As the number of business concerns using data analytics is on the rise, so is the number of jobs in this field.

    Source: HOB
    9969
  • 10 Things Keep In Mind, You May Never Lose Your Data Science Job

    The data scientist role has been attracting quite a bit of attention and interest - but if you're considering a data science job in that field, make sure you know what you're taking on.

    Source: HOB
    10392
  • Must Read: Books Thriving Your Data Science Knowledge

    If you're a beginner or experienced as a Data Scientist then you must aware of these data science books. Books are the best source to get insights and increase our knowledge.

    Source: HOB
    9984
  • How To Tackle & Avoid Unrealistic Data Science Project Expectations: Top 8 Tricks

    Organizations are enthusiastic about hiring data scientists but must remember that data-driven projects will not solve every problem.

    Source: HOB
    5589
  • Huge Demand For Data Science Job Is Booming & Only Increasing Exponentially YoY

    Fueled by big data and AI, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a slower pace.

    Source: HOB
    9252
  • Why Data Science And Data Analytics Are The Major Need For All The Industries?

    Data science has revolutionized the technological world. We all are aware of the term data science that there is definitely something in data science that sets it apart and make being a data scientist one of the best jobs of the twenty-first century.

    Source: HOB
    14562
  • Collection of Best Books On Data Science From Its Library

    As time flies, now big tycoons are more focused on data. That's the reason many of the people building businesses today are putting analytics and data science at the center of their strategy and operations.

    Source: HOB
    17523
  • Best 4 Data Science Certification To Boost Your Career & Salary

    Practicing data scientists and those breaking into the field may benefit from these certifications, according to Mondo.

    Source: HOB
    93915
  • Learn At Home and Master Machine Learning through these Books

    Machine Learning: An Algorithmic Perspective (Chapman & Hall/CRC Machine Learning & Pattern Recognition) Paperback Import, 8 Apr 2009

    Source: HOB
    9192
  • Utilizing your Weekends with the FREE courses in Machine Learning from Top Universities

    Few courses will help you in utilizing your weekend. If you have interests in machine learning these courses will be of more importance to you and you will be more advanced with the knowledge of machine learning with these courses.

    Source: HOB
    9246
  • Must Attend These 3 Leading Conferences On Artificial Intelligence and Machine Learning

    If you really want to get insight into these latest technologies like artificial intelligence and machine learning than you must attend these following conferences.

    Source: HOB
    10791
  • Best 5 Steps For Getting Started In Machine Learning, Top Data Scientists Share Their Tips

    Advice from those with years of experience, from Facebook's chief of engineering to Intuit's chief data officer. If you want to carve out a career in machine learning then knowing where to start can be daunting.

    Source: ML
    19125
  • Top 6 Government Project Will Influence Big Data & IoT In 2019

    Learn which innovations and developments found in aerospace and defense will enter the commercial market as products and new capabilities for big data and IoT in the new year.

    Source: HOB
    12666
  • 10 Best Ways Programming Language Programmers & Developers Can Keep Their Tech Skills Up To Date For Job

    With the rapid pace of innovation, it can be difficult for programming language tech professionals to keep their skills current. Here are 10 tips to help you boost your professional development.

    Source: HOB
    8847
  • Why Big Data Is Required For Content Management

    Data science teams need content managers. Here are 3 ways you can incorporate content management into your data science and analytics.

    Source: HOB
    14697
  • Few Recommended Videos: Learning of Data Science

    Enhance your career with these tutorials in data science, they will give you the whole concepts and the courses for beginners as well as data scientists.

    Source: HOB
    6174
  • Data Scientist The Best Profession In the 21st Century As Declared by Reputed Organisations

    One of the fastest growing careers among them is Data Science, which has become extremely popular among youth because of its exciting nature of work and new newness. Professionals who do this job are known as Data Scientists.

    Source: HOB
    12996
  • IIM Bangalore To Host The Women In Data Science Conference on 9 March 2019

    The Data Centre and Analytics Lab (DCAL) at IIM Bangalore to host the Women in Data Science (WiDS) Conference on March 9 (Saturday) at the IIMB auditorium.

    Source: HOB
    8523
  • Best 5 Highest Paying Jobs In Computer Science & IT

    One of the silent wishes of a professional career person is to land a job that pays well to be able to live comfortably. This is also one of the goals of the students in choosing a course or career when they enter their college years.

    Source: HOB
    23784
  • Most Popular 6 Books About Open Data All Data Scientist Should Read

    Check out this collection of six books which tackle the hard skills required to make sense of the changing field known as open data and muse on the ethical implications of a digitally connected world.

    Source: HOB
    7668
  • How Data Science Makes You The Future Leader

    There is too much explosion in the generation of the data in every major industry all around the world, and the demand of skilled workers if very much as they need professional workers to handle that huge data for solving certain problems and this profession has an unpredictable growth in recent times.

    Source: HOB
    6531
  • Top 15 Machine Learning Resource & Tools For ML Engineers To Enhance Them Skills

    Machine learning has grown to be one of the hottest job markets in India with tech giants and startups poring billions to this emerging field.

    Source: HOB
    19830
  • How To Choose the Best Programming Language For Machine Learning Project?

    I am new in data science, what language should I learn? What's the best programming language for machine learning?

    Source: HOB
    25155
  • Top 5 Reason To Switch From Tableau Data Analysis To Google DataStudio

    When I started working at my latest company all the reporting was done with a combination of Google Sheets and Tableau, with Tableau being the principle reporting mechanism.

    Source: HOB
    10047
  • What Sort Of Companies Hire Data Scientists?

    There are several companies that are hiring a data scientist. Here is a list of companies hiring Data Scientist in India.

    Source: HOB
    7650
  • Learn The Basics Of Data Science

    Know the basics of data science to build your career and have influenced learning capabilities.

    Source: HOB
    7320
  • Great Career in Data Science and Data analytics

    Data science and Data analytics are used to identify patterns and draw inferences from raw data.

    Source: HOB
    9795
  • Why Data Science Team Need Data Scientist Generalists, Not Data Science Expert?

    Data science is no exception. An end-to-end algorithmic business capability requires many functions, and so companies usually create teams of specialists: research scientist, data scientist, data engineers, machine learning engineers, causal inference scientists, and so on.

    Source: HOB
    16782
  • What does it take to be a Data Scientist?

    The need for a Data scientist has grown enormously which in turn has resulted in an increasing demand for Data scientists.

    Source: HOB
    13371
  • Don't get loosen up in communicating- Data Scientists!

    Communication skills play a vital role in growing a career in Data Science.

    Source: HOB
    11703
  • How I got Successful Data Science Job After Laid Off?

    The point of this article is to show you what a successful Data Science job hunt looks like, from beginning to end. Strap-in, friends. I'm about to bring you from day 1 of being laid-off to the day that I accepted an offer. Seriously, it was an intense two months.

    Source: HOB
    12240
  • Which One The Best Programming Language For DS and ML?

    Arguing about which programming language is the best one is a favorite pastime among software developers. The tricky part, of course, is defining a set of criteria for best.

    Source: HOB
    16605
  • Report From Kaggle: 59% Of Employed Data Scientists Learned Data Science Skills On Their Own Or Via A MOOC

    Data scientists are in high demand and short supply, but they may not need a degree in computer science to get a job, according to a new report from Kaggle.

    Source: HOB
    9852
  • Data Mining - Worth a concept to know about

    Data science, Data mining and Data analysis are abuzz today with the number of jobs growing rapidly with each coming day in these fields.

    Source: HOB
    6192
  • Challenges Faced in Data Science Careers

    It is noteworthy to know the major challenges that a Data scientist face.

    Source: HOB
    6873
  • Top Data Science Companies in India

    Here are some of the top Data Science companies in India that you must have an eye on regarding their recruitment and selection.

    Source: HOB
    13017
  • Dramatically Change Is Coming To Data Science Jobs, All Data Scientist Should Know

    I believe the job of data scientist as we know it today will be barely recognizable in five to 10 years. Instead, end users in all manner of economic sectors will work with data science software the way non-technical people work with Excel today.

    Source: HOB
    7602
  • Master Data Science: Top Courses By edX

    Here are some courses in Data Science which will take you to the real world of data science.

    Source: HOB
    6678
  • Learn Tips For Using Data Science To Solve Company Issues That You Can Master Today

    To a data science, there is nothing more exciting than the data revealing insights about real organizational issues. However, it is completely deflating to present the insights to management and accomplish nothing.

    Source: HOB
    5052
  • How To Use Augmented Data Science & Why Is It Important For Business?

    Augmented Data Science is integrated into the average enterprise, the domain of data science proliferates as does the knowledge and understanding of analytical techniques

    Source: HOB
    12957
  • How To Prepare For A Career In Data Science? Every Student Should Know

    Data science is a growing and promising field that attracts more and more young talents on a year-to-year basis.

    Source: HOB
    14076
  • Machine Learning Engineer Is In High Demand Job In The USA According To Indeed

    Machine Learning Engineer job openings grew 344% between 2015 to 2018, and have an average base salary of $146,085.

    Source: HOB
    13242
  • How to Prepare yourself for a Data Scientist Interview?

    Facing an interview is really scary to many of the candidates.

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    6600
  • Which Programming Language All Engineer & Employer Love And Hate? But Why

    To figure out which programming language skills sparked the most corporate interest in 2018, Hired looked at the number of interview requests received by a job seeker listing experience with a given programming language during the two to six weeks the job seeker was available through Hired.

    Source: HOB
    5121
  • Really You Want To Be A Data Scientist? Five Ways To Get Job In Data Science

    Data science is a growth area; here are some of the factors you need to take into account if you want to make the move.

    Source: HOB
    15684
  • Around 70% Job Opening in Analytics And Data Science: Here Are The Top Recruiters

    More than 97,000 analytics & data science positions remain vacant in India due to the shortage of talent. Here's how to be relevant in the job market.

    Source: HOB
    9624
  • Key Differences between a Data Scientist and a Data Analyst

    Working as a Data Scientist you will analyze data sets which are more complex and large in number as compared to a Data Analyst job.

    Source: HOB
    16872
  • Why Programming Language R is so popular in Data Science?

    According to Spectrum Survey conducted by IEEE, R ranks 7th among the top 10 Programming Languages of 2018.

    Source: HOB
    48201
  • 7 Tools used by Data Scientists

    A Data Scientist is an expert in using some tools which are very helpful in analyzing big data sets.

    Source: HOB
    16497
  • Why Machine Learning Engineer Is The Best Job, Not Software Developer Or Data Scientist

    While data scientists and developers may have more job openings, machine learning jobs have higher salaries and faster growth, according to Indeed.

    Source: HOB
    14904
  • Beginner's Guide to understand Hadoop and Spark in Data Science

    Hadoop and Spark both are used by businesses today to process big data.

    Source: HOB
    18282
  • How To Use Python for Data Science: 8 Concepts You Need To Remember

    I have been working through an online data science course titled Python for Data Science and Machine Learning on Udemy Oh God, I sound like that guy on Youtube.

    Source: HOB
    6585
  • What Are The Most Useful Programming Languages To Learn To Get A Job In 2019?

    This is not a complete list by any means. I've also purposely left out programming languages like HTML and CSS due to them not actually being programming languages. If anyone wants to add to this list, feel free to comment or suggest edits!

    Source: HOB
    10635
  • Exploring various Careers other than Data Scientist in Data Science

    The aim of this article is to provide you information about those key areas where you can actually develop your career.

    Source: HOB
    5706
  • Must Enroll For Data Science Courses For Certification

    Here are some online courses which will give you more of data science knowledge and help you build a lucrative career.

    Source: HOB
    7389
  • Awesome Tips For Agile Data Science Research, All Data Scientist Should Know

    This post demonstrates how to bring maximum value in minimal time using agile methods in data science research.

    Source: HOB
    14253
  • Best online Data Science Courses

    Relevant skills, qualifications, and courses will prove good to you in developing a career in Data Science.

    Source: HOB
    8565
  • Data Mining and Data Warehousing, Are they Different?

    You need to have done Data Warehousing before doing Data mining.

    Source: HOB
    8475
  • Do We Have Earning Opportunities Through Data Science Certifications?

    As we can see that Data Science is in trend and its the most desirable career in this century.

    Source: HOB
    6411
  • Five Must-Read Books of Machine Learning and Data Science

    We are here to provide you a list of 5 books which will play a key factor in honing your skills in Data Science and Machine Learning and sets you apart from your competitors.

    Source: HOB
    9294
  • Artificial Intelligence on High Demand- Swiggy buys AI Startup Kint.io

    The leading Food Ordering and Delivery platform, Swiggy, acquired AI Startup Kint.io.

    Source: HOB
    9612
  • The Best Way to Become a Data Scientist and Master In Machine Learning End of 2019

    Learning paths are immensely popular among our data science & machine learning readers and with good reason! Learning paths take away the pain and confusion from the learning process.

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    23247
  • My simple ways to pace career in Data Science

    The role of a Data Scientist depends most on the organization he is working on.

    Source: HOB
    7227
  • Get your job in 90 days with some free Machine Learning Courses

    Here are some machine learning courses which will help you to begin your career at an earlier stage of learning.

    Source: HOB
    19047
  • How Tutors Can Teach Data Science Effectively?

    So here you can see some real-life instructors just to make sure that there is a proper effective environment of learning for students there.

    Source: HOB
    5790
  • Jobs in Future will be more for Coding

    Programming for computers may not be more in demand, but coding is most widely in demand within many industries.

    Source: HOB
    100884
  • Learn At Home and Master Machine Learning through these Books

    Books highlighting you with some machine learning content for fresher graduates as well as professionals.

    Source: HOB
    9309
  • Being An Intern for Data Science Will Take You To Heights

    So if you are willing to go for an internship in data science, just don't hold your hands and go, be prepared as it is not that easy, you just have to put efforts to make your future and face challenges too.

    Source: HOB
    6057
  • A Beginner Must Avoid these Mistakes in Data Science

    The article draws attention to some of the common mistakes that every beginner commit while pacing career ahead in Data Science and must keep a regular check on that to help him avoid these silly mistakes.

    Source: HOB
    5334
  • Stay Tuned With Data Science Updates On Top LinkedIn Groups

    LinkedIn is a very good place for the professionals to gather, connect with others, share ideas and network. If you are in a Data Science or predictive analytics space, or if you are seeking for additional insights and what all industries are talking about, for all these LinkedIn professional groups are a great place to start.

    Source: HOB
    10767
  • How Data Science Become Beginner To Expert Data Scientist - A Step By Step Guide To Follow

    A data scientist uses statistical methods, such as mix modeling, predictive response modeling, sales response modeling, experimental design, CART/CHAID, latent class segmentation, cross-sectional and time series analysis, discrete choice modeling, data mining and optimization techniques to cater client business requirements.

    Source: HOB
    22191
  • Get Success in Data Science Interviews with these Mindblowing Tips

    Getting Success at your first Data Science Interview might seem difficult but with sheer dedication, efforts, knowledge, skills and good confidence over your abilities can increase your chances of getting selected at your dream job without many difficulties.

    Source: HOB
    5319
  • Mapping Use Cases of Data Science Across Different Industries

    Data science is one of the most current and diverse fields of technology today. It is all about collecting data which are unstructured and raw in the form and then finding insights from it; can help any venture become more profitable.

    Source: HOB
    18243
  • Some Free Online Courses Of Data Science Which Will Make Learning Easier

    Becoming a Data Scientist might be on your mind right now. Learn Data Science step by step through real Analytics examples.

    Source: HOB
    6057
  • Certification in Data Science will Make You a Good Data Scientist

    So Data science is a fast-growing industry in terms of knowledge and job.

    Source: HOB
    5598
  • Top 10 List of Coding Mistakes Always Made by Data Scientists

    Here is a list of 10 common mistakes that a senior data scientist - who is ranked in the top 1% on Stackoverflow for python coding and who works with a lot of (junior) data scientists - frequently sees.

    Source: HOB
    14958
  • Most Popular 10 Free Courses For Machine Learning & Data Science

    Here are 10 machine learning courses to help with your spring learning season. Courses range from introductory machine learning to deep learning to natural language processing and beyond.

    Source: HOB
    17463
  • Six Reasons Why You Should Consider a Career in Cyber Security

    In an age of Data and technology where almost every of the information has been put digitally and cyber crimes have increased in the recent past, the need for cybersecurity is at its peak. Starting a career in Cyber Security is worth considering in the present scenario.

    Source: HOB
    6975
  • Job Comparison of Data Engineer and Statistician

    In many of the cases, aspirants do not know about the responsibilities each position carries. I have discussed two such roles here, Statisticians and Data Engineer which are confused a lot by the aspirants.

    Source: HOB
    19605
  • 4 Technologies that have Revolutionized the World

    The article draws out 5 technologies that have completely revolutionized the world today. This article is written with the intention to make you aware of how powerful the influence of technology is in our lives today.

    Source: HOB
    7803
  • Statistics Concepts Every Data Scientist Should Know

    Statistics plays a very important role in Data Science. The article draws out some statistical concepts that every Data Scientist should know.

    Source: HOB
    8553
  • Complete Lifecycle of a Data Science Project Explained Simply Here

    The article explains the complete lifecycle of a Data Science Project so that every beginner who is starting to undertake a project gets the guidance and any experienced who is already into the process can cross check whether he is following the right steps or not.

    Source: HOB
    13746
  • Which are some of the most Frequently Asked questions in Data Science?

    This article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.

    Source: HOB
    8892
  • Debug your Journey with Some Famous Courses of Data Science

    This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline

    Source: HOB
    6606
  • Data Scientist is the Best Job in America for 2019

    Data Scientist stood out the best job in America for the fourth year in a row with Median Base Salary $108,000, Job Satisfaction rating 4.3 out of 5 and no. of job openings- 6510.

    Source: HOB
    14502
  • Will Automation take over the job of Data Scientists in Future?

    A recent report from Gartner predicts that 40% of Data Science tasks will become automated by 2020.

    Source: HOB
    10095
  • Crack Interviews- 7 Most Important Terms that Every Data Scientist Should Know

    The 7 most important terms in Data Science that every Data Scientist must know while making a career in Data Science are discussed in the present article.

    Source: HOB
    7326
  • Become a Pro with some Machine Learning and Deep Learning Courses

    Willing to master in machine learning and deep learning? So make a career in the recent and most demanding subject today. The future will be in your own palms.

    Source: HOB
    6678
  • Why Data Visualization Is The Priority For Visualizing The Data Of The Company?

    In other words, data visualizations turn large and small datasets into visuals that are easier for the human brain to understand and process.

    Source: HOB
    14919
  • Top 5 Most Important New Jobs In Artificial Intelligence, According To KPMG

    Perhaps as a counter to the panic that artificial intelligence will destroy jobs, consulting firm KPMG today published a list of what it predicts will soon become the five most sought-after AI roles. The predictions are based on the company's own projects and those on which it advises.

    Source: HOB
    6894
  • Unpaid Courses makes you a keen learner of Machine Learning and Artificial Intelligence

    Some courses which are free from edX and will make your learning more influencing and interesting.

    Source: HOB
    6621
  • Globally Few Universities are providing FREE Online Courses for Tech Students and Professionals (PART-1)

    So in this article, I will discuss some of the courses which will be of Programming, Engineering, Computer science, and social science and rest courses will be in the Part 2 which will be published soon.

    Source: HOB
    7173
  • Tech Professionals should strive to attend these Machine Learning and Artificial Intelligence Conferences

    Machine Learning and Artificial Intelligence workshops for professionals which will help them to grow in this field and know about what is exactly happening with these technologies.

    Source: HOB
    6186
  • Courses which every tech person can ENROLL through Multiple Universities Part 2

    In Part 1, I have already discussed some of the courses related to Programming, Engineering, Computer science, and social science and rest courses related to science, personal development and many more will be in Part 2.

    Source: HOB
    5874
  • Tech Person Should Go With These Courses Via Various Popular Universities Part-3

    In Part 1, I have already discussed some of the courses related to Programming, Engineering, Computer science, and social science and courses related to science and personal development are discussed in Part 2 and here rest of the courses are discussed:

    Source: HOB
    5565
  • If Aspiring for a Data Science Career than SQL is Compulsory!

    Data Science is all about working with Data and SQL is the key to unlock the insights out of that Data.

    Source: HOB
    7611
  • What Exactly a Career in Data Science Is?

    Data Science is about using data for creating as much impact as possible for your company.

    Source: HOB
    15831
  • Develop your LinkedIn Profile today and get hired as a Data Scientist!

    Recruiters look for more in your Social profiles after taking your resume for approval and when the case is of a Data Scientist it becomes a necessity to check whether you are good at making networks or not.

    Source: HOB
    6732
  • Aspiring Data Scientists Must Master These 3 Skills!

    This article discusses those top 3 skills which are required by every Data scientist and it won't be wrong to say that these 3 skills are like the 3 keys in unlocking your success-door in the field. It thus becomes very important that you take these 3 skills very sincerely and start developing them right from today.

    Source: HOB
    6162
  • Top 5 EBooks All Engineer Should Read Before Getting Into A Machine Learning Career

    A carefully curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

    Source: HOB
    7356
  • The Most in Demand and Desired Skill of a Data Scientist

    Data Scientists require to possess a number of skills but the most in-demand skill of a Data Scientist is one that is required by every Data Scientist to possess and which is also the most sought after skill by any recruiter hiring for a Data Scientist.

    Source: HOB
    6882
  • How can I make an impressive Data Science CV

    This article is written with an intention to provide you a detailed approach of how to effectively design your CV for a Data Science job. So go through the article carefully and jot down the main ideas to get you selected for your next interview.

    Source: HOB
    23622
  • Know How Microsoft Azure ML Studio Clarifies Data Science

    Simple to use, but serious data science knowledge still required. I've been dying to test drive one of the many recent tools on the market targeted at the citizen data scientists like DataRobot, H20 Driverless AI and Microsoft's new product in the cloud called Microsoft Azure Machine Learning Studio (Studio).

    Source: HOB
    8349
  • Recommended: The ONE Online Resource that EVERY LEARNER in Data Science MUST FOLLOW

    As a learner in Data Science I also faced huge difficulty in deciding out the best online resource for me. It was frustrating at the starting and there were times when amid confusions I gave up.

    Source: HOB
    16161
  • MOOC Registration for Online courses for ML, Data Science, Programming Begins In May

    Here are some professional courses in computer science, machine learning and artificial intelligence offered by MOOC the online platform.

    Source: HOB
    6888
  • 10 Most Popular Machine Learning Methods That Every Data Scientist Should Know

    Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field make keeping up with new techniques difficult even for expertsā??-ā??and potentially overwhelming for beginners.

    Source: HOB
    12702
  • Data Science & NLP To Design For Content Strategy

    Harnessing the power of Process excellence, Analytics & NLP to design the content strategy for a data science knowledge portal.

    Source: HOB
    8718
  • Hiring at Google can give you a way to become a passionate Data Scientist

    Hiring at Google are on some particular basis, so here is a brief introduction to what Google looks for while hiring a Data Scientist. Through these tips, you can easily prepare yourself with the interview for a data scientist.

    Source: HOB
    8211
  • These 5 Skills Will Make You a Successful Data Analyst. Read to Know about.

    I have also been an enthusiast in the field and had explored many of the resources for the same during the starting of my career. Here, I have organized and presented these skills in a way so to provide you the best in brief.

    Source: HOB
    5325
  • Machine Learning beginners should access these Books, Courses, and Tutorials before entering this field

    Some books, courses, and tutorials of machine learning for beginners which can help them to begin their journey with in-depth knowledge.

    Source: HOB
    10197
  • Are you a Good Data Scientist? Check What differs a Good Data Scientist from a Bad one

    Sometimes its good to analyze oneself. Sometimes its good to know the reality that whether you are a good fit for your job or not. Make sure your communication is all not holding you back from being a Good Data Scientist.

    Source: HOB
    5910
  • Companies Offering Internship for ML, AI and Data Science Freshers with a Good Stipend

    Internships are a great way to kickstart an individuals career. With the right opportunity at the right time, it becomes the starting point of one's fruitful career.

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    15999
  • Data Visualization is an integral part of Data Analysis but Not Synonymous with

    As visualizations go hand in hand with analysis and an analyst job also contain the role of making effective visualizations, Data Visualization and Data Analyst are often taken synonymous with each other.

    Source: HOB
    8292
  • Entering into your career as a Data Analyst will sprinkle you with multiple benefits

    Earlier data analytics field was not more in demand but now there is a continuous growth in this field with multiple job opportunities.

    Source: HOB
    6615
  • Master Data Science with these Top 5 Books of Statistics

    While there are many books and resources available online to provide you some concepts you need in Statistics, I have come here with the best 5 books that I personally have found useful for me and several of my peers in Data Science. I am pretty sure they will help you a lot.

    Source: HOB
    13278
  • Beginners must follow these steps to start a career in Data Science

    Starting a career in Data Science can be intimidating but with the right decisions and right choices, a beginner can start a career in Data Science and soar to greater heights in the career.

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    12042
  • Top 10 Business Schools To Study Data Science & Get Job Soon

    With the shortage of data scientists in the enterprise, companies need these skills now more than ever, according to a Correlation One report.

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    8514
  • Recommended: Top 4 Popular YouTube Channels to Master Data Science

    Because we are humans and have more inclination towards visualization and interaction, learning from videos is the best thing that we can do to ourselves. For this regard I have come up here with the 10 most popular YouTube videos on Data Science to kick start off your career in Data Science.

    Source: HOB
    22782
  • Data science books to buy for a minimum price on Amazon for every beginner, professional and For Business

    Data Science books which will benefit beginners, professionals and business people also. You can easily avail these books on Amazon at a Discounted price.

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    7239
  • Best 10 Universities in the U.S for Pursuing Master of Science in Data Science

    If you are one of those candidates who is a graduate and finding the right university for Data Science in the US than you need not worry because I have done your tiresome task of researching and have come here with the best 10 universities which you can consider for MS in Data Science in the US.

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    6477
  • Advise for Success: How Should I start my career in Machine Learning

    The future of Machine Learning is bright and if you have really thought over of getting your career started in Machine Learning than I must say -" You have made the right choice for your future". Here I have arrived with some of the most important points you need to successfully start your career.

    Source: HOB
    10914
  • The 7 Habits of Successful Data Scientists

    A Data Scientist is always a person with a win win approach.If he is not having a win win approach than he is not a Data Scientist. The article presents the 7 habits that every successful Data Scientist carries.

    Source: HOB
    45513
  • Top 12 Data Science Podcasts You Must listen to in 2019

    Either you are traveling to work or are not engaged in any mental activity or have any constraint in your eyes to read a book or watch an informative video you can easily refer to a podcast to get yourself updated in your specialization.

    Source: HOB
    8352
  • Data Scientist must adore these Data Science Books

    Whether you just want to stay informed in the data craze or you're looking to kickstart your data science or data literacy journey, this article features a list of books.

    Source: HOB
    7092
  • Do You Know? Your Data Science Job At Risk of Being Automated

    A useful test for determining if your job can be done by a machine with an application to data scientist.

    Source: HOB
    10107
  • A complete Beginner's guide in Data Science

    For a beginner who want to start a career in Data Science, a lot of online platforms are available providing a bunch of information about the field and offering several courses but still there is some ambiguity that still lies in the mind of the aspirants about the careers, salaries, growth rate, skills, and the the various positions in Data Science.

    Source: HOB
    8493
  • Clarifying Differences between Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data

    In this data-driven world usage of words like Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data are common and are often used by the professionals in the field. Often these terms are confusing to a beginner and the terms seem similar to a novice in the field.

    Source: HOB
    119715
  • The Golden Phase of Learning Data Science and becoming a Data Scientist through Online Lectures

    Here you will find multiple websites offering you various courses in data science which have perks of learning and provide online lectures too as per your convenience.

    Source: HOB
    8355
  • Order a bundle having 8 courses, 506 lessons, and 2839 enrollment through which you can also master in Machine Learning

    This bundle helps you dive in, with over 400 video tutorials on machine learning and data science. The lessons show you how to build machine learning algorithms and neural networks, using popular frameworks such as TensorFlow and Keras.

    Source: HOB
    6510
  • Facing Rejection in Data Science Interviews? Follow these Guided steps to crack one.

    Diversion is the easiest option you could do after your first or many rejections in Data Science interviews but standing positively all over again and trying to crack the next interview in the next chance is the best thing you can ever do.

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    7989
  • Sisense becomes a partner with Periscope Data and turns out as data-driven Companies

    Sisense has acquired Periscope Data for creating a complete data science and analytics platform for customers.

    Source: HOB
    8742
  • Demand for Data Scientist has increased in 2019. Why?

    If you think that data science is not a job which needs proper skills, here are some reasons where you will see the fact.

    Source: HOB
    6600
  • Finding Difficulty in choosing the Best Deep Learning Framework? Get help from these YouTube videos

    Using a Deep Learning Framework Deep Learning models are easily developed by the professionals without requiring to develop the models from starting.

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    37122
  • Questions asked in a Data Science Interview and Some Instant Resources to Crack it

    Data Science is becoming more and more popular as a career choice since it offers both lucrative salaries and the opportunity to have a high impact.

    Source: HOB
    6612
  • How To Learn Artificial Intelligence Collaboratively By Saving The Planet

    Omdena and Ciencia y Datos have partnered up for a new Artificial Intelligence Challenge if you want to be one of the 50 AI enthusiasts to acquire hands-on skills by solving a meaningful and global problem you need to read this article.

    Source: HOB
    5553
  • Globally Data Science courses are provided with Approved Online Certificates and Online Lectures

    Here are some of the data science courses which are provided online globally with online certificates and lectures are provided according to your feasibility.

    Source: HOB
    6825
  • Jobs, Career, Pay-Scale, Profile, Skills of a Data Scientist in a one scale

    If you really want to know the demand of data science, this article will give you a complete check of who is a data scientist and the future jobs of a data scientist with a pay scale in the near future.

    Source: HOB
    6102
  • How will Data Science and Data Scientists in 2030 be like?

    According to International Data Corp. (IDC), worldwide revenue for big data and business analytics (BDA) solutions will reach by $260 billion in 2022, with a compound annual growth rate (CAGR) of 11.9 percent.

    Source: HOB
    21819
  • Data Scientist should admire these famous authors for some Famous Data Science books

    Some books which will help data scientist to cope up with professional learning.

    Source: HOB
    5493
  • Do You Want To Become Level 3.0 Data Scientist? Lets Read It

    Want to be a Junior, Senior, or Principal Data Scientists? Find out what you need to do to navigate the Data Science Career Game.

    Source: HOB
    12309
  • Crack Interviews: Top Frequently Asked Questions on Big Data and Hadoop

    As companies need to deal with the Big Data every day, recruiters look for the skill of handling this Big Data in the potential candidates and questions on Big Data and Hadoop are the most frequent one asked by recruiters in the interviews.

    Source: HOB
    10506
  • Trending Courses for Professional Data Scientists to Enroll till July

    Every professional data scientist should grab these courses to know much more about data science.

    Source: HOB
    6060
  • How Beginner can gear up their Dream Data Science Project?

    Data Science Projects will help you a lot in developing these essential skills with an experience to work with large datasets.

    Source: HOB
    8289
  • 5 Reasons why the Majority of the Data Science Positions are vacant today

    The reason why many of the data scientists position remains vacant today in spite of a number of candidates applying for the position is the "lack of skills". According to a study conducted by Great Learning, 97,000 analytics and data science positions remain vacant in India due to the dearth of the skills.

    Source: HOB
    8244
  • Top companies paying a Higher Salary to Data Scientists in India

    Companies are throwing huge salaries at those having the skills to take on the positions of Data Analysts, Scientists, Engineers, etc.

    Source: HOB
    42273
  • 5 Data Science Blogs that Every Beginner and Professional should follow in Data Science

    Whether you are a Professional or a beginner, staying updated on the latest trends in your field is the one thing that you should daily. In this article, we have listed the top 5 Data Science Blogs that every beginner and Professional must follow.

    Source: HOB
    9138
  • Learn from the Industry Experts and Professionals to grow a Career in Data Science

    You may have learned about the top skills of Data Scientists through various blogs, but learning from an expert is the one thing that you should do now.

    Source: HOB
    11976
  • Learn from the Industry Experts and Professionals to grow a Career in Data Science

    You may have learned about the top skills of Data Scientists through various blogs, but learning from an expert is the one thing that you should do now.

    Source: HOB
    10005
  • If Developing a Career in Data Science, then you must Build concepts with these Books!

    There are a number of online resources that have emerged today to teach learners the various concepts and things related to Data Science that it is a bit confusing to get started with any.

    Source: HOB
    6843
  • Top 13 Skills Required To Become a Rockstar Data Scientist In 2019

    What separates a good data scientist from a rockstar data scientist? Surprisingly, I got a huge response from many top data scientists from different industries who all shared their thoughts and adviceā??-ā??which I found very interesting and practical.

    Source: HOB
    26307
  • Which One Best Programming Language For Machine Learning Project?

    Q&A sites and data science forums are buzzing with the same questions over and over again: I am new in data science, what language should I learn? What's the best language for machine learning?

    Source: HOB
    12657
  • US IT Tech Students Slaughter Peers In Russia, China, India In Coding Test

    Despite starting computer-science degrees with high skills in math and science, students in China and Russia don't end up as good as their US counterparts.

    Source: HOB
    7161
  • 6 Things To Deal With The Great Data Scientist Shortage

    Rather than wait for want ads to go unfilled, organizations should rethink, retrain, reorganize and reach out to fill the data science talent gap.

    Source: HOB
    10923
  • Top 10 Most Popular Machine Learning Companies In 2019

    These 10 companies are working with cutting-edge machine learning technologies to transform their business operations

    Source: HOB
    21435
  • How to Begin and Enroll for Data Science Courses easily?

    Some books which will help data scientist to build their career with these famous Data Science courses.

    Source: HOB
    7221
  • Machine Learning Is The Top Tech Topic In Recent Era

    Machine learning has been one of the top tech new topics in recent months and is now being widely applied to businesses. Briefly, machine learning (ML) is an application of AI (artificial intelligence) that allows systems to learn and improve without being directly programmed.

    Source: HOB
    5691
  • Top Online courses with certificates for every Data Scientist

    Demand for skilled data scientists continues to be sky-high, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.

    Source: HOB
    10140
  • How you can crack Data Science Interview in a ONE go?

    Data Science is becoming more and more popular as a career choice since it offers both lucrative salaries and the opportunity to have a high impact.

    Source: HOB
    6567
  • Does Artificial Intelligence differ from Machine Learning?

    The data science field is increasing and getting popular day by day. It has attracted thousands of professional interests.

    Source: HOB
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  • Top Salary backup can be some Data Science Courses

    What are some of the most popular data science tools, how do you use them, and what are their features? Here are some specializations which will give you a glimpse of data science study.

    Source: HOB
    6540
  • Hottest Profession in 2019 is Data Science. Grab some booming Courses

    Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming.

    Source: HOB
    6291
  • Data Science: A Team Spirit

    As data science has infused across nearly every imaginable field, the work of programmers, analysts, visualization specialists, and myriad other disciplines come together to form modern data science teams tackling society's grand challenges.

    Source: HOB
    7641
  • What Skills Should Have Data Scientist To Get Hired In 2019

    To attract data science talent, you need a sound data strategy and an established data-driven environment in which data scientists can have an impact and do meaningful work.

    Source: HOB
    11262
  • Learners can be exposed to additional tools used to perform Data Visualization

    Data visualization plays an essential role in the representation of both small and large-scale data.

    Source: HOB
    6342
  • A better research option for Jobs of Machine Learning and Artificial Intelligence on Indeed.com

    AI and Machine Learning job postings on Indeed rose 29.10% over the last year between May 2018 and May 2019.

    Source: HOB
    5694
  • Some famous Articles for the Data Science Learners

    Here are some of the resources where you can have in-depth analysis and learning of data science through some famous articles.

    Source: HOB
    5634
  • Have a clear concept of Data Science with these Books

    Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

    Source: HOB
    8316
  • Blockchain is getting viral through RBI for Banking Solution till 2019

    Bitcoin and Blockchain Technology has been invented since a decade, and despite finding plenty of use-cases across segments, many applications have not gone beyond the PoC phase in a majority of the cases.

    Source: HOB
    8466
  • Some Courses which gives an answer for every Question of Programming Languages

    Lots of students have been a success with getting their first job or promotion after going through these courses.

    Source: HOB
    6435
  • Data Scientist should turn on their mind towards some famous Books of Data Science

    Here are some books which will help you to boost your knowledge of data science and some of its fundamental tools.

    Source: HOB
    6117
  • Do we Need Higher Level Of Qualification to become a Data Scientist?

    There are also important skills and attributes that you'd be more likely to build up during that time in an industry setting.

    Source: HOB
    5574
  • Top Website HOUSE OF BOTS for Tech related articles and Recent Tech Jobs

    House of bots offers tech-related information, like Artificial technologies, Machine learning, Robotics, Chatbots, Data analytics, Neural Network, and Cloud computing. HOB is the solution for different users like tech-savvy, job providers and job seekers, etc. HOB is a B2B platform.

    Source: HOB
    6585
  • A key to own a successful career in Data Science

    Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.

    Source: HOB
    12264
  • A key to own a successful career in Data Science

    Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.

    Source: HOB
    6348
  • Famous Tutorials of the Data Visualization Techniques

    Some Tutorials which will give you a brief introduction of data visualization techniques and help you master this field.

    Source: HOB
    9717
  • Make Machine Learning Algorithms on your Tips

    Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.

    Source: HOB
    6603
  • Analyze and Visualize your Data through best Data Science tools

    Data Science Tools, Data Analysis, Data Warehousing, Data Mining, Microsoft Azure, MySQL, DataRobot, Amazon

    Source: HOB
    6591
  • Higher Level Courses of Machine Learning enables your Certifications

    Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

    Source: HOB
    6837
  • How Data Scientists can easily develop themselves?

    A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data.

    Source: HOB
    21240
  • Beginners should use Keras for Creating Deep Learning models

    Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures.

    Source: HOB
    5250
  • Best Data Visualization Courses for Beginners

    Practical Data Visualization techniques, tips, and tricks for the aspiring analyst and people who want to start from the beginning in any field needing this critical 21st-century skill.

    Source: HOB
    14613
  • Some major Skills to become a Software Engineer

    Be professional first, if you are paid for 9 hours work 9 hours go home professionalism does not mean stretching all night and on holidays, if your manager gives you the shit show him oxford dictionary and a mirror.

    Source: HOB
    5976
  • Go for Data Science career. It has multiple opportunities

    Gain new insights into your data. Learn to apply data science methods and techniques, and acquire analytical skills.

    Source: HOB
    6090
  • Interview Study Guide for Data Science To Get Job Quickly

    121 best resources to help you land your data science dream job. Data science interviews, like other technical interviews, require plenty of preparation. There are a number of subjects that need to be covered in order to ensure you are ready for back-to-back questions on statistics, programming and machine learning.

    Source: HOB
    14061
  • Where can you start learning Data Science?

    Some easy resources from where beginners can start learning data science and its model for easy growth.

    Source: HOB
    5964
  • What skills do you need to earn more after Machine Learning Course?

    Machine Learning is in trend these days having smart algorithms which are used at multiple places like emails, smartphones to marketing campaigns.

    Source: HOB
    5721
  • Top Bootcamps and Best Data Science Companies in India

    Data Science is one of the career paths that we've seen the Bootcamp model successfully applied to over the past couple of years.

    Source: HOB
    8682
  • Famous Data Science books for the year 2019

    Data Scientist should have hands-on these data science books which will enhance their in-depth knowledge.

    Source: HOB
    8307
  • Capture What Data Science is and Lifecycle of a Data Scientist

    Data science is a present-day technology world using a very common term. It is a multi-disciplinary entity that deals with data in a structured and unstructured manner.

    Source: HOB
    6132
  • Some illustrations defining the sustainability of Top programming Languages of 2020

    Comparing Programming Languages is a very complex thing and so there are many graphical illustrations trying to symbolize Programming language.

    Source: HOB
    9501
  • Job Outlook may be open for every Data Scientist after learning these courses

    Some professional courses with a higher-level certificate for all the data scientist which may open the perspective of every beginner as well as professional.

    Source: HOB
    6000
  • Is it so difficult to learn TensorFlow Deep Learning Framework? This Youtube Video will help you in better Learning

    Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

    Source: HOB
    10959
  • Data Science degree adds value to your career. But how?

    If you are looking to start a new career that is in high demand, then you need to continue reading.

    Source: HOB
    9540
  • Taking an Artificial Intelligence certification revamps your career options

    Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.

    Source: HOB
    5370
  • You can perform better in Machine Learning as a professional

    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

    Source: HOB
    6375
  • Make good research in Data Visualization to make a marvelous Career

    Data visualization is the graphic representation of data analysis to achieve clear and effective communication of results and insights.

    Source: HOB
    6705
  • Data Science: The Climax of your future Career

    The wide application of Information Technology and Computer Science has given rise to so many new fields in the corporate sector which have enormous potentials and possibilities.

    Source: HOB
    6882
  • How Data Scientists are more successful in their jobs?

    Data scientists are crucial for interpreting data and solving complicated issues in business. Here's how they can use their skills most effectively.

    Source: HOB
    4890
  • Become a Certified Programmer without any hassle

    Become a Certified Programmer with some online courses without any efforts, just get a Professional degree with less cost.

    Source: HOB
    5511
  • Is Data Science a job paying you with the Highest Salary in 2019-2020?

    Jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000.

    Source: HOB
    5421
  • Machine Learning Platform is enlarged by Explorium in U.S Israel by $19 million

    The U.S.-Israeli data science firm Explorium raised $19 million in private funding to expand its new machine learning platform, Reuters reported on Wednesday (Sept. 11).

    Source: HOB
    4845
  • Next Big transformation by AICTE in AI and Data Science Courses

    The All India Council for Technical Education (AICTE) has decided to approve a Bachelor of Technology (B. Tech) course in Artificial Intelligence and data science to cater to the growing demand for skilled manpower in these technologies said AICTE chairman Anil Dattatraya Sahasrabudhe in Chennai on Saturday.

    Source: HOB
    6642
  • These Books introduce you to a career in Machine Learning

    Machine Learning with AWS is the right place to start if you are a beginner interested in learning uses artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform.

    Source: HOB
    5949
  • Digitizing your Business through AI Chatbot

    Last September, visa outsourcing and technology services company VFS Global, deployed chatbot-Viva-offering round-the-clock assistance to visa applicants headed to Australia.

    Source: HOB
    6672
  • Data Science can't be done by Every individual. Is it so difficult?

    The high salary prospects and the job prospects of a data scientist are the major attractions for the new entrants or the freshers.

    Source: HOB
    5067
  • DataRobot takes an attempt to automate the classical job of a Data Scientist

    DataRobot wants to make machine learning so simple that a business analyst with basic training can run predictive models without breaking a sweat.

    Source: HOB
    6447
  • Easy books of Data Science for professionals: Get hired in Big Companies

    Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts.

    Source: HOB
    5472
  • Online courses of Artificial Intelligence for Professionals and Beginners

    Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing.

    Source: HOB
    6558
  • A course which will enhance your knowledge in Data Science

    Launch Your Career in Data Science. A ten-course introduction to data science developed and taught by leading professors.

    Source: HOB
    5721
  • Some expected Big Data trends for the year 2019

    The overall importance of data and information within organizations has continued to grow. We've also seen the continued rise of megatrends like IoT, big data - even too much data - and of course, machine learning.

    Source: HOB
    7464
  • Why there is a Hype around Data Science?

    Data science is the buzzword that has gripped the entire world. Despite its ever-growing popularity, there are many questions related to this field.

    Source: HOB
    6147
  • Analytics and Business Intelligence are becoming innovative through some trends for Business Leaders

    The emergence of relationship analytics highlights the growing use of a graph, location, and social analytical techniques.

    Source: HOB
    7449
  • Courses which will help you with Data Science

    The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.

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    6714
  • Data Science Courses with high-level Certifications

    The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.

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    5235
  • Ways to revive your career in Data Science

    Launch Your Career in Data Science. A ten-course introduction to data science developed and taught by leading professors.

    Source: HOB
    5217
  • Data Science is the most paid job until 2019. What about the future?

    Data science features significantly when you talk about high paying future jobs.

    Source: HOB
    8379
  • How Zoomcar gained popularity through Data Science?

    The rapid expansion of Zoomcar's fleet size and the high volume of data generated from its customers forced the company to invest in data-driven technologies.

    Source: HOB
    8943
  • Will learning Machine Learning courses be benefited in the future to get a High Salary?

    Machine learning is the science of getting computers to act without being explicitly programmed.

    Source: HOB
    6744
  • How did Data Science start growing eventually as the best career option?

    Data's importance is known by everyone now. If it had been even 10 years back, nobody would have thought of this gigantic shift of power.

    Source: HOB
    8148
  • Some major uses of Data Science

    Data science can be used for almost anything and everything in today's world, and why not? Every industry is producing and collecting a huge amount of data every day using faster computers.

    Source: HOB
    4743
  • How Data Science gives perks to your career?

    Data science makes use of a scientific approach to gain insight and knowledge out of data. It employs different processes, systems, and algorithms to derive insights out of structured and structured data.

    Source: HOB
    4779
  • All you need to know about is Data Science Certifications

    This capstone project courses will give you a taste of what data scientists go through in real life when working with data.

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    7203
  • A simple and a easy guide to become Data Scientist

    The real task of a data scientist is to design high performing prediction engines. Prediction engines, in turn, help the company either expand business or increase revenue.

    Source: HOB
    5319
  • A key to your brighter future: Data Science

    Data is a word that is pretty known to us. If we put it into correct words, it is a collection of information that can be translated into a form that can be processed by computers.

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    4167
  • Online Machine Learning Courses with Verified Certificates

    Learn to train and assess models performing common machine learning tasks such as classification and clustering.

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    5097
  • Pursuing Data Science Course is a safe option for youth's career

    Data analysis plays a vital role in the functioning of a business and its decision making. The demand for individuals possessing the skill of data science analysis is increasing at a good pace.

    Source: HOB
    4389
  • How Data Science books can be a benefit for the future?

    Discover how data science can help you gain in-depth insight into your business the easy way. Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles.

    Source: HOB
    5064
  • For Data Science do you need to learn any Programming Language?

    Therefore, in order to gain knowledge and become a professional worker, you need to have a brief idea about at least one of these languages that are required in Data Science.

    Source: HOB
    4464
  • Data Science courses which can be done simultaneously with some other courses

    The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.

    Source: HOB
    5856
  • Do you know which Programming Language will continue to in demand for 2020?

    Here are a few programming languages we recommend for coders who want to make it big in 2020.

    Source: HOB
    6657
  • Beginners should Grab Machine learning tutorials on Youtube

    Machine Learning tutorial is ideal for beginners who want to understand Data Science algorithms as well as Machine Learning algorithms.

    Source: HOB
    4944
  • Learn the Machine Learning Fundamentals with an easy approach

    Understand machine learning's role in data-driven modeling, prediction, and decision-making.

    Source: HOB
    5334
  • Data Science books for highly professional Data Scientists

    Data science strategy for Dummies begins by explaining what exactly data science is and why it's important.

    Source: HOB
    5061
  • A New Step towards Data Science

    With the great increase of data in this generation, data science has become one of the most accepted disciplines of competence.

    Source: HOB
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  • Data Science: Can everybody pursue it?

    The high salary prospects and the job prospects of a data scientist are the major attractions for the new entrants or the freshers.

    Source: HOB
    5355
  • Is learning Data Science Courses necessary?

    Data science is the application of algorithms, machine learning and various such methods and options for bringing out patterns by going through a lot of data.

    Source: HOB
    5010
  • How about using some of the books to learn Machine Learning Algorithms?

    Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide

    Source: HOB
    5928
  • Some easy tips to find a Data Science Jobs through Data Science Training

    Data science in its very brief form is the science of drawing out insights and information out of raw data using a mixture of various tools, algorithms, and machine learning principles.

    Source: HOB
    4902
  • Go Big with these Big Data Courses

    Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

    Source: HOB
    4887
  • Some admiring books for Data Science Learners

    To really learn data science, you should not only master the tools-data Science libraries, frameworks, modules, and toolkits-but also understand the ideas and principles underlying them.

    Source: HOB
    3861
  • Master in Machine Learning with these Books

    If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks.

    Source: HOB
    4983
  • Some major challenges of Machine Learning in Big Data Analytics

    Machine Learning is a branch of computer science, a field of Artificial Intelligence. It is a data analysis method that further helps in automating the analytical model building.

    Source: HOB
    5913
  • Get introduced with Python Programming language Courses

    These courses are perfect for true beginners, learn Python basics and start coding right away.

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    6483
  • How to use Big Data round the world?

    Big Data is the term business insiders use to depict a transformational change in PC examination and business administration.

    Source: HOB
    3669
  • A most trending career in the world is Data Science

    Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.

    Source: HOB
    4284
  • What are the loss and benefits of Data Science?

    Data Science is a combination of the following skills: Mathematics expertise, business/strategy acumen, and technology and hacking skills.

    Source: HOB
    5565
  • Find a way out to learn Machine Learning Algorithms from these Books

    Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.

    Source: HOB
    4008
  • The Evolution of a Data Scientist

    Data scientists are people who always have an exquisite mindset and want to develop stuff.

    Source: HOB
    5292
  • Can we use Data Science in different industries? Yes! But how?

    Data science is one of the most current and diverse fields of technology today. It is all about collecting data that are unstructured and raw in the form and then finding insights from it; it can help any venture become more profitable.

    Source: HOB
    3102
  • Is it necessary to learn Python for Data Science?

    It is no doubt that python is one of the best-suited programming languages when it comes to a data scientist. It has been spoken of time and again that Python is the most common programming language in the case of computing.

    Source: HOB
    6417
  • Can you reach heights in the future through data science?

    Data Science refers to studying hidden insights behind the data and manipulating them in order to find logical solutions to problems in business and industrial contexts.

    Source: HOB
    3867
  • Machine Learning becomes easy with these Online Courses

    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

    Source: HOB
    5064
  • How Data scientist should perform for his job?

    Firms use data science aggressively to be a market leader. Data is streaming in from different sources like web, social media, customer reviews, internal databases, and governmental datasets.

    Source: HOB
    3714
  • Understand the major technology trend driving Deep Learning, through these courses

    Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.

    Source: HOB
    5598
  • How Data Science can be of a Big advantage to every company?

    In this article, you will read about the role of a data scientist and the way different companies use data science to their advantage.

    Source: HOB
    3471
  • Data Science: Banking career options

    Data science already has a market revenue of $2.71 billion and it is expected to touch $20 billion marks by 2025.

    Source: HOB
    5175
  • Learning Machine learning Online is more easy on edX

    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

    Source: HOB
    5355
  • Machine learning can be of good use in the near future

    Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

    Source: HOB
    3978
  • Get to know Artificial Intelligence, Machine Learning and Deep learning in detail

    Artificial Intelligence (AI) and its subsets Machine Learning (ML) and Deep Learning (DL) are playing a major role in Data Science.

    Source: HOB
    7671
  • Master the basics of Artificial Intelligence through these Online Courses

    Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning, and neural networks.

    Source: HOB
    4788
  • Data Science with Machine Learning

    Today, technology has given birth to AI machines that have made our lives even easier. You may have experienced the wonders of AI while using social media sites, such as Google and Facebook.

    Source: HOB
    3375
  • Why one should learn Python Language?

    Many programming languages are used today, some are used, and some have gone obsolete. In the last few years, the programming scenario has changed drastically as developers and programmers are searching for more universal and approachable languages.

    Source: HOB
    3999
  • Data Science- Best paying job role in the near future

    This is the key reason why there is substantial demand for Data Scientists in the job market. In fact, the job profile of a 'data scientist' is already declared to be the most sought after profession in the 21st century.

    Source: HOB
    3879
  • A future career in Data Science will be more promising. How?

    Everybody has different opinions regarding big data. Some say it is just a phase that the tech world is going through and some say it is here for the long term.

    Source: HOB
    3345
  • The opportunity of Big Data in Aerospace

    Aerospace companies have to visualize Big Data so that they can graphically illustrate layers of high-volume information about energy status, distribution and its supply through different channels.

    Source: HOB
    5313
  • Data Scientist-A right path

    The data scientist is said to be eligible for a job if he/she possesses the right and the required skill sets and the knowledge base.

    Source: HOB
    3585
  • Data Scientist-Multitasking Job

    Firms use data science aggressively to be a market leader. Data is streaming in from different sources like web, social media, customer reviews, internal databases, and governmental datasets.

    Source: HOB
    4029
  • Data Science and some applications

    Companies and Organizations have become wise and intelligent enough to sell and push products on the basis of the customer's interest and purchasing power by using this field called Data Science.

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