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  • Artificial Intelligence
  • 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
    13533
  • 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
    32277
  • 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
    10155
  • 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
    10869
  • 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
    23775
  • 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
    13344
  • 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
    11361
  • 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
    29907
  • 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
    10698
  • 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
    10005
  • 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
    14994
  • 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
    10470
  • The One Thing that Makes a Great Data Leader

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

    Source: Data-informed
    9408
  • 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
    12252
  • 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
    12414
  • 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
    10428
  • 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
    10695
  • 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
    9969
  • 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
    17862
  • 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
    18402
  • 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
    17928
  • 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
    23760
  • 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
    9876
  • 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
    18699
  • 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
    14778
  • 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
    10200
  • 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
    10956
  • 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
    20205
  • 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
    22452
  • 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
    15747
  • 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
    14436
  • 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
    14808
  • 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
    17121
  • 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
    11160
  • 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
    9426
  • 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
    12411
  • 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
    10377
  • 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
    13806
  • 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
    19641
  • 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
    8007
  • 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
    12600
  • 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
    14616
  • 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
    15750
  • 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
    12849
  • 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
    28596
  • 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
    17136
  • 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
    7296
  • 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
    13830
  • 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
    11658
  • 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
    20205
  • 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
    13416
  • 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
    12453
  • 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
    6642
  • 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
    12066
  • 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
    14652
  • 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
    11874
  • 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
    11517
  • 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
    18561
  • 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
    13638
  • 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
    10260
  • 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
    10779
  • 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
    9378
  • 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
    11388
  • 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
    11385
  • 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
    13710
  • 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
    24705
  • 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
    20136
  • 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
    30699
  • 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
    9687
  • 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
    21243
  • 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
    22101
  • 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
    11097
  • 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
    14547
  • 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
    14712
  • 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
    30291
  • 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
    37923
  • 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
    12558
  • 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
    18102
  • 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
    26871
  • 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
    25188
  • 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
    25941
  • 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.
    59868
  • 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
    57192
  • 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
    16761
  • 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
    16119
  • 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
    42648
  • 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
    42639
  • 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
    15216
  • 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
    23385
  • 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
    9657
  • 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
    19689
  • 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
    25512
  • 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
    15105
  • 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
    32553
  • 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
    18504
  • 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
    18768
  • 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
    13260
  • 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
    8802
  • 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
    98778
  • 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
    13941
  • 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
    31701
  • 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
    21900
  • Become a Big Data and Hadoop expert with this training

    A comprehensive course on Hadoop for just $39.

    Source: HOB
    12903
  • 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
    43410
  • 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
    23769
  • 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
    10680
  • 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
    45378
  • 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
    12195
  • 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
    30135
  • 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
    31827
  • 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
    13320
  • 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
    16803
  • 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
    13155
  • 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
    11964
  • 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
    14292
  • 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
    11961
  • 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
    17376
  • 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
    24129
  • 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
    19584
  • 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
    20607
  • 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
    23223
  • 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
    11934
  • Details on First Data Science Job Salary

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

    Source: HOB
    14577
  • 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
    46575
  • 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
    12744
  • 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
    12009
  • 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
    12885
  • 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
    17085
  • 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
    15390
  • 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
    16965
  • 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
    13740
  • 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
    17262
  • 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
    21177
  • Data science is the big draw in business schools

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

    Source: HOB
    31482
  • 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
    30174
  • 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
    18237
  • 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
    18426
  • AI-Based Operation: Learnings for Business and Technical Managers

    Using Reinforcement Learning to Tackle CitiBike Rebalancing Problems and Beyond

    Source: HOB
    11127
  • 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
    12576
  • 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
    10425
  • 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
    48594
  • 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
    22770
  • 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
    13488
  • 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
    21954
  • 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
    11370
  • 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
    34680
  • 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
    19098
  • 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
    15498
  • 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
    26892
  • 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
    15639
  • 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
    19476
  • 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
    14169
  • 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
    12657
  • 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
    12024
  • 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
    10626
  • 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
    12651
  • 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
    11451
  • 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
    14103
  • 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
    12603
  • 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
    8175
  • 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
    10953
  • 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
    19230
  • 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
    11517
  • 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
    27006
  • 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
    10350
  • 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
    13944
  • Artificial Intelligence in Medicine

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

    Source: HOB
    16845
  • 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
    21348
  • 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
    11349
  • 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
    9273
  • 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
    6879
  • 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
    18984
  • 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
    24438
  • 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
    35838
  • 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
    24024
  • 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
    23136
  • 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
    23202
  • 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
    26949
  • 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
    13713
  • 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
    8517
  • 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
    9015
  • 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
    7137
  • 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
    19434
  • 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
    10446
  • 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
    16965
  • 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
    12888
  • 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
    15594
  • 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
    26289
  • 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
    10950
  • 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
    28461
  • 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
    18633
  • 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
    10455
  • 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
    11343
  • 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
    36021
  • 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
    79341
  • 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
    19176
  • 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
    44328
  • 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
    9765
  • 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
    11907
  • Lets Start Using Data Science To Drive Greater Business Success: Data Scientist

    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.

    Source: HOB
    8679
  • 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
    15834
  • 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
    35478
  • 8 Real Challenges Data Scientists Face All Time

    I want to explore the real challenges of data science, based on perspectives from those in the field and those who manage them. However, no career is without its challenges, and data science is not an exception.

    Source: HOB
    8697
  • 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
    18528
  • 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
    6888
  • 50 amusing Data Science Data sets part 2

    50 data sets that data scientist find amusing.

    Source: HOB
    8367
  • 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)...

    Source: HOB
    8568
  • 60+ Free Books on Data Science, Big Data, Data Mining, Machine Learning that Everyone Should Read!

    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: HOB
    118062
  • Why You Need to Care About Interpretable Machine Learning Application

    Machine Learning (ML) models are making their way into real-world applications. We all hear news about ML systems for credit scoring, health-care, crime prediction.

    Source: HOB
    15483
  • Why is Big Data in Biggest Trouble: Did They Forget to Applied Statistics?

    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
    19353
  • 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.

    Source: HOB
    15690
  • 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
    18006
  • 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
    18519
  • Why, How and What are the Purpose of Machine Learning?

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    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
    10824
  • 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
    20730
  • 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
    16338
  • 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
    17382
  • 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
    24849
  • 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
    46686
  • 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
    24543
  • 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
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  • 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
    9204
  • 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
    62937
  • 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
    24501
  • 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
    28488
  • 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
    38550
  • 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
    9879
  • 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
    19737
  • 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
    17646
  • 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
    14058
  • 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
    80931
  • 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
    13440
  • 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
    9198
  • 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
    9060
  • 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
    6720
  • 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
    7494
  • 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
    9240
  • 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
    11385
  • 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
    9807
  • 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
    8298
  • 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
    8346
  • 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
    14154
  • 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
    17313
  • 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
    31287
  • 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
    10356
  • 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
    42288
  • 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
    32220
  • 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
    11259
  • 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
    18549
  • 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
    8907
  • 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
    12789
  • 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
    12852
  • 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
    9132
  • 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
    15225
  • 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
    11901
  • 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
    30342
  • 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
    13182
  • 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
    12651
  • 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
    13629
  • 30 Data Science Punchlines, All Data Scientist Should Use

    A holiday reading list condensed into 30 quotes about data science

    Source: HOB
    34119
  • 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
    78225
  • 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
    30591
  • 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
    19380
  • 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
    17130
  • 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
    8352
  • 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
    40884
  • 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
    24057
  • 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
    14211
  • 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
    7995
  • 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
    49128
  • 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
    36030
  • 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
    14226
  • 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
    11652
  • 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
    19362
  • 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
    13158
  • 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
    30096
  • 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
    23151
  • 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
    10170
  • 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
    35469
  • 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
    25707
  • 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
    8367
  • 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
    8997
  • 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
    6732
  • 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
    20139
  • 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
    60468
  • 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
    8796
  • 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
    10116
  • 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
    7845
  • 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
    39861
  • 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
    10140
  • 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
    111582
  • 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
    18201
  • 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
    22644
  • 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
    98994
  • 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
    69528
  • 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
    8736
  • 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
    11271
  • 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
    9849
  • 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
    9906
  • 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
    11895
  • 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
    21225
  • 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
    13836
  • 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
    9591
  • 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
    15636
  • 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
    9306
  • 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
    8307
  • 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
    21513
  • 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
    26052
  • 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
    10890
  • 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
    8364
  • 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
    13872
  • 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
    13146
  • 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
    17742
  • 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
    14595
  • How to Prepare yourself for a Data Scientist Interview?

    Facing an interview is really scary to many of the candidates.

    Source: HOB
    7239
  • 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
    5667
  • 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
    17148
  • 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
    18018
  • 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
    18318
  • 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
    7134
  • 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
    11424
  • 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
    6321
  • 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
    15756
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    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
    10098
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    The leading Food Ordering and Delivery platform, Swiggy, acquired AI Startup Kint.io.

    Source: HOB
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  • 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
    19875
  • 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
    6387
  • 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
    102474
  • 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
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  • 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
    6675
  • 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
    11898
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    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
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    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
    18459
  • 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
    7623
  • 4 Technologies that have Revolutionized the World

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    Source: HOB
    8457
  • 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
    9369
  • 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
    14898
  • 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
    7203
  • 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
    15753
  • Become a Pro with some Machine Learning and Deep Learning Courses

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    Source: HOB
    7212
  • 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
    16248
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    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
    7548
  • 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
    7236
  • 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
    7950
  • 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
    6792
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    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
    6480
  • 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
    6171
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    Data Science is all about working with Data and SQL is the key to unlock the insights out of that Data.

    Source: HOB
    8298
  • 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
    8151
  • 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
    7554
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    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
    25779
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    Here are some professional courses in computer science, machine learning and artificial intelligence offered by MOOC the online platform.

    Source: HOB
    7515
  • 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
    9285
  • 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
    8706
  • 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
    10890
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    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
    9189
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    With the shortage of data scientists in the enterprise, companies need these skills now more than ever, according to a Correlation One report.

    Source: HOB
    9294
  • 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
    24198
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    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
    11511
  • 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
    9015
  • 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
    122463
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    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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    38187
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    Some books which will help data scientist to cope up with professional learning.

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    6051
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    11166
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    Every professional data scientist should grab these courses to know much more about data science.

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    6858
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    Data Science Projects will help you a lot in developing these essential skills with an experience to work with large datasets.

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    8910
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    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
    9189
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    Companies are throwing huge salaries at those having the skills to take on the positions of Data Analysts, Scientists, Engineers, etc.

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    44766
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    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?

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    13575
  • 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.

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    7869
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    These 10 companies are working with cutting-edge machine learning technologies to transform their business operations

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    Some books which will help data scientist to build their career with these famous Data Science courses.

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    8067
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    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.

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    6351
  • 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.

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    10917
  • 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.

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    7194
  • 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
    6372
  • 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.

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    9468
  • 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.

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    9462
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    7233
  • Top Website HOUSE OF BOTS for Tech related articles and Recent Tech Jobs

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  • 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.

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    Source: HOB
    7407
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    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
    7590
  • 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.

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    6087
  • Best Data Visualization Courses for Beginners

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    15372
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    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.

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    12615
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    6165
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    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

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    7095
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    Data visualization is the graphic representation of data analysis to achieve clear and effective communication of results and insights.

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    7569
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    Data scientists are crucial for interpreting data and solving complicated issues in business. Here's how they can use their skills most effectively.

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    5580
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    Become a Certified Programmer with some online courses without any efforts, just get a Professional degree with less cost.

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    6309
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    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.

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    6207
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    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).

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    5628
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    7680
  • 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.

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    6771
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    Last September, visa outsourcing and technology services company VFS Global, deployed chatbot-Viva-offering round-the-clock assistance to visa applicants headed to Australia.

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    7800
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    DataRobot wants to make machine learning so simple that a business analyst with basic training can run predictive models without breaking a sweat.

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    7512
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    Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing.

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    7695
  • 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.

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    8364
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    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.

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    Machine learning is the science of getting computers to act without being explicitly programmed.

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    7617
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    8025
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    4878
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    5892
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    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.

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    5124
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    Here are a few programming languages we recommend for coders who want to make it big in 2020.

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    7620
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  • 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.

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    5919
  • 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

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    6783
  • 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.

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    5700
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    Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

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    5649
  • 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.

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    Big Data is the term business insiders use to depict a transformational change in PC examination and business administration.

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    Data Science is a combination of the following skills: Mathematics expertise, business/strategy acumen, and technology and hacking skills.

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    6882
  • 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.

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    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

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  • 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.

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    6450
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    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

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    6126
  • 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.

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    4782
  • 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.

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    9186
  • 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.

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    5658
  • 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.

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    4077
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    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.

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    4740
  • 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.

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  • 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.

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    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.

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    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.

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    4425
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    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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  • Begin Machine Learning with some advance tips

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    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.

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  • Here is how to begin with Machine Learning

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  • New Way to write code is about to Change: Join the Revolution

    The OpenAI API is a new way to access new AI models developed by OpenAI. It provides a general-purpose interface, which you could specify what you want it to do, with just a handful of examples.

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