Maluuba, a Microsoft company working towards general artificial intelligence, recently released a new open dialogue dataset based on booking a vacation - specifically, finding flights and a hotel.
Source: Infoq
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A year and a half ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master's program using online resources.
Source: Medium22428
"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: Congnizant3132
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: Forbes10644
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: ZDnet2085
Microsoft's cloud-based virtual machine for big data analytics is now available in a version running on Windows Server 2016.
Source: Eweek2358
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: Insidebigdata8202
Understanding machine learning & data science is easy. There are numerous open courses which you can take up right now and get started. But, acquiring in-depth knowledge of a subject requires extra effort.
Source: HOB Team9441
Machine learning algorithms can be divided into 3 broad categoriesā??-ā??supervised learning, unsupervised learning, and reinforcement learning.
Source: kdnuggets2562
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: Forbes2739
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 Vidya14538
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: TNW2790
How do Data Science and DevOps fit together? In this article, Richard Gall explains why integrating Data Science with your DevOps can lead to a better and smarter business.
Source: jaxenter2226
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: jaxenter1857
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: Kdnuggets3561
Google's Ground Truth team recently announced a new deep learning model for the automatic extraction of information from geo-located image files to improve Google Maps.
Source: Infoq3150
Some people have relied on "common sense" to brand an entire religion as dangerous-but rigorous analysis proves they're wrong
Source: Scientific American1458
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: Forbes2019
What's the one thing that makes a great data leader?
Source: Data-informed1452
Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.
Source: KDnuggets1929
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: KDnuggets3075
From gaining the right skills to acing your first interview, these resources can help put you on the right track
Source: PCworld2019
Data scientists in the marketing world have something in common with the nerd characters on police-procedural TV shows, according to speakers at a DigitasLBi-hosted event in Singapore last week.
Source: Campaign Asia2316
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 ANGLE2598
Interview: Tom Smith, managing director of the new body in the Office of National Statistics, says it can do a lot to support policy makers in understanding complex issues
Source: ukauthority2004
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: ZDnet1800
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 Informed5088
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: KDnuggets3693
Leaders sometimes ask questions that get in the way of solving the problem that really matters to them. We can learn a lot from a real-life example of two business titans.
Source: Forbes2151
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: HBR3906
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: VCC7080
Data Science is a comparatively new domain which most of us is not thorough with, agreed?
Source: Aircto1833
IDE stands for Integrated Development Environment. It's a coding tool which allows you to write, test and debug your code in an easier way, as they typically offer code completion or code insight by highlighting, resource management, debugging tools
Source: Datacamp6657
Start with y. Concentrate on formalizing the predictive problem, building the workflow, and turning it into production rather than optimizing your predictive model. Once the former is done, the latter is easy.
Source: medium2550
Since February I have been working on a video course with Packt Publishing, and the course is now published.
Source: NTguardian4629
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: Pandasecurity9369
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: ZDnet4071
A lot of people reach out to me. They needs jobs. But they are asking about school.
Source: Forbes2169
DataScience.com customers can now benefit from The Data Incubator's comprehensive data science training in the DataScience.com Platform.
Source: Global Newswire2748
Most industries are struggling to find data science expertise, but Wall Street especially has particularly keen to hire in this area. Data has always been a big part of the finance industry, and over the last few years, top financial services firms have ramped up their spending, investing millions of dollars to recruit and train data scientists.
Source: Efinancial Career2355
AI, or artificial intelligence, has taken root in biotech. In this article, a contributor explores its newfound niches in the industry.
Source: Labiotech6771
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: KDnuggets7173
This course created by Data Weekends, Jose Portilla, and Francesco Mosconi is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.
Source: Medium7821
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: Siliconrepublic6063
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: Techtarget5058
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: Econsultancy3369
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: HBR5478
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 Times2778
Data science is complex. Let us help break it down for you in this bundle where you can learn everything a data scientist needs to know before jumping into it as a career.
Source: Techrepublic2301
July 30 marks the United Nations' World Day Against Trafficking in Persons, a day focused on ending the criminal exploitation of children, women and men for forced labor or sex work
Source: Scientificamerican1926
In recent years, influencer marketing has established itself as a highly-effective method for brands to build and engage with audiences on social media. It is well-documented that influencers and their authentic content creation can help brands grab the attention of consumers and gain their trust, but the question has remained: Does influencer marketing actually directly impact sales at scale?
Source: Forbes2358
Demand for developers with data science skills continues to grow. Here's what you need to learn to break into a career in the field.
Source: Techrepublic1857
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: Dataquest1503
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: CBR3279
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 Counsel2703
Citing the need for jobs of the future, Gov. Andrew Cuomo on Thursday announced $22.5 million in state support for the creation of a Rochester Data Science Consortium on the University of Rochester campus.
Source: Democratandchronicle2619
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 Tech5007
There are many differing opinions on the impact of artificial intelligence (AI) on our worklives, from dazzling to dystopian.
Source: Forbes6486
Razorthink Inc., an innovator in Artificial Intelligence Data Science for the Enterprise, today announced Razorthink Big Brain, the first Deep Learning Data Science Platform that automates the data preparation, modeling, evaluation and deployment of Deep Learning solutions at scale. With Razorthink Big Brain, organizations can quickly generate Expert AIs that supercharge their data science efforts with superior big data predictive analytics and help businesses avoid blind spots by 'knowing what they don't know.'
Source: Globe News Wire2589
Data science is a vast, fascinating field. Analysis of datasets can be applied to multitudes of areas to improve people's quality of life. It would be difficult to find a better application of data science changing people's lives than Berlin-based menstrual and ovulation tracker Clue.
Source: Silicon Republic2217
Of course, this follows the basic laws of economics - supply and demand. The demand for data science is very high, while the supply is too low.
Source: Forbes5793
Businesses need to look for a diverse range of backgrounds, skills and experiences when hiring their analytics teams.
Source: Which-508016
An Interview with Sergey Nikolenko, Chief Scientist of Neuromation, a Blockchain for Artificial Intelligence company.
Source: Nextbigfuture4923
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: Huffingtonpost1158
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: Huffingtonpost4596
Data lakes didn't quite pan out so now it's all about an abstraction layer and machine learning to save the day. Hopefully, machine learning can cleanse your data on the fly since humans have proved repeatedly they aren't meticulous enough.
Source: ZD Net3576
While quick and dirty Google Trends is definitely not data science it can be useful for a sniff test. I was working on a client project today, when I thought I would look at search interest over time. Rails- weĆ?Ā¢??d expect to be tailing off a bit.
Source: Enterprise Irregulars7443
In this special guest feature, Kevin Safford, Sr. Director of Engineering for Umbel offers a no-nonsense look at how to answer the proverbial question "How can I become a data scientist." To understand how to become a data scientist, it's best to get on the same page on what data science is.
Source: Inside Bigdata8055
Machine learning and big data are having a positive impact on customer experience, as well as producing extensive benefits for banks.
Source: Information Age6642
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: CNBC6420
Given that data was held in such high regard even in the late 19th century, it is no surprise that this would be the case in the age of Internet and information overload. In fact, simply having data will no longer cut it; you need to know how to interpret it and how to derive actionable insights from it.
Source: The Hindu2073
Coupled with technology, data can transform the way businesses operate to stay ahead of their competitors.
Source: Daily Nation2109
It doesn't have a super-sexy moniker like KRACK or Heartbleed, but the spectre of the insider threat looms large for organisations, and has done so for as long as electricity, silicon, and computing have been paired up to store information.
Source: ZDNet1770
Accern, a New York-based data science start-up has today closed a $2.1 million Pre-Series A funding round led by private investors, including 26 Ventures' Managing Partner, Moshe Neuman.
Source: Forbes1788
DJ Patil, the chief data scientist under President Barack Obama, has joined Venrock Capital as an adviser. Patil has long been a proponent of using data science and artificial intelligence to solve some of the nation's biggest problems around areas including medicine, policing and the criminal justice system.
Source: TC1731
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 Team2382
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 Team13533
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 News8586
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: RTInsights1032
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: RTInsights4935
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's2646
In the tech industry, new skills and roles emerge faster than traditional education can keep up with. A recent example is the field of data science and the associated profession, Data Scientist.
Source: Codementor36474
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: Forbes4974
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 Republic2736
Consultants who partner with data scientists can use the power of big data to help sell their expert advice. Find out pitfalls to avoid in this partnership.
Source: Tech Republic4581
The incredible breakthroughs we saw in 2017 for deep learning will carry over in a very powerful way in 2018.
Source: venturebeat3180
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.com1356
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: ET3468
A new article in Science talks about the impact of machine learning advancements on labor demands and the economy.
Source: newsclick3498
How diverse will a lucrative, growing field like data science be in the future?
Source: Forbes6336
Is data science too easy? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Source: Forbes3372
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: HOB4185
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 Irregulars2562
Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn.
Source: Linkedin Blog6285
"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: Newsweek3903
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: Edweek1770
A start-up specialising in business-to-business payments is to open a development centre in Glasgow, creating 37 data science jobs in the process.
Source: Scotman3057
Bennett Borden, chief data scientist at the Philadelphia firm of Drinker, Biddle & Reath, discusses his take on the evolution of legal analytics.
Source: Law.com2181
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: Aninews2391
Over the next decade, artificial intelligence will have a profound impact on all industries, introducing efficiencies and innovative catalysts.
Source: Morningstar1239
Imaging analytics backed by machine learning can accurately predict renal survival time in patients with chronic kidney disease.
Source: Healthitanalytics2760
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: Itworld3408
Data protection platforms are a key element of data supply chains.Yet data supply chains present unique challenges.
Source: Forbes3483
Anyone who is plugged into the tech world knows that AI and big data is big business right now. Our technological ability to process and analyze large troves of data grows every year, unlocking new doors at every turn.
Source: Forbes5256
Results from the Kaggle State of Data Science and Machine Learning survey of data professionals revealed that job satisfaction varies widely across job titles. Data professionals who reported the highest level of job satisfaction were: 1) Machine Learning Engineers, 2) Data Scientists and 3) Predictive Modeler. Data professionals who reported the lowest level of job satisfaction were: 1) Engineers, 2) DBA/Database Engineers and 3) Programmers.
Source: Customerthink9471
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: Techgenix9330
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.io8673
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: HOB12951
Artificial Intelligence (AI) should be used to solve local problems with the help of global technology, said IT minister KT Rama Rao. The minister, who headed a delegation at the World Economic Forum (WEF) 2018, spoke at a session on "Global Tech and Local Solutions: Artificial Intelligence" in Davos on Friday.
Source: TOI12615
The biggest event on the data science community calendar is the one that showcases women in the field.
Source: Forbes2433
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: Businessoverbroadway12273
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 Wire11664
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: Livemint1743
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: HOB11616
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: Dailydot5574
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: Mashable5673
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: Infoq3189
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: Springboard18609
It's undeniable-data science is one of the fastest growing fields in the world today, and shows no signs of slowing down. Because of that, it's becoming increasingly important to study and understand the professionals who make up this field, and the ways they navigate it.
Source: Springboard19605
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: Springborad3234
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: HOB7272
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: HOB10797
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 broadway13653
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: HOB11556
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.28149
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: Kdnugget32637
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: CRN3174
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: Kdnugget5865
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: Kdnugget10230
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: Kdnugget21879
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: Kdnugget4992
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: Kdnugget6333
Strong math understanding, computing skills, critical thinking and presentations skills provide a strong foundation for a career in Data Science.
Source: Kdnugget1260
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: Kdnugget8451
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: HOB9876
We are now at 91 questions. We've also added 50 new ones here, and started to provide answers to these questions here. These are mostly open-ended questions, to assess the technical horizontal knowledge of a senior candidate for a rather high level position, e.g. director.
Source: DSC14790
Data has emerged as the new oil. Enterprise success now hinges on the ability to extract insights from the unprecedented flow of data. This is where data science serves its purpose to help enterprises see meaning out of information and make strategic decisions.
Source: Marutitech5553
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: HOB6066
This was the subject of a popular discussion recently posted on Quora: 20 questions to detect a fake data scientist. We asked our own data scientist, and he came up with a very different set of questions: compare his answer (#1 below - 20 questions) with Quora replies (#2 and #3 below - 30 questions). Note that #2 focuses on statistics, and #3 on architecture. The link to the original Quora discussion is also provided in this article. Which questions would you add or remove?
Source: DSC13752
There's been a lot of hype about Data Science... and probably just as much confusion about it.
Source: Kdnugget17721
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: HOB3228
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: Kdnugget4638
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: Bizcatalyst3603747
Infosys has made an investment of $1.5 mn in Waterline data science, a provider of data discovery and data governance software.
Source: HOB1710
Hone yourself to be the ideal candidate at your next data scientist job interview with these frequently asked data science interview questions. Data Scientist interview questions asked at a job interview can fall into one of the following categories -
Source: Dezyre21153
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: HOB47610
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.
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Python's growing adoption in data science has pitched it as a competitor to R programming language. With its various libraries maturing over time to suit all data science needs, a lot of people are shifting towards Python from R. This might seem like the logical scenario. But R would still come out as the popular choice for data scientists. People are shifting towards Python but not as many as to disregard R altogether. We have highlighted the pros and cons of both these languages used in Data Science in our Python vs R article. It can be seen that many data scientists learn both languages Python and R to counter the limitations of either language. Being prepared with both languages will help in data science job interviews.
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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:
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These articles have been divided into 3 parts which focus on each topic wise distribution of interview questions. Below are some of the questions that maybe asked during a data science interview, that is related to R programing specifically.
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We will see real-time big data come to the forefront in the enterprise world this year. There is a convergence of several factors that will lead to this. Companies have increasingly begun to use cloud solutions and advanced data processing solutions in order to derive business insights for improving customer experience, optimizing operational processes and providing executives with critical data points.
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Here are the four big data trends that will be driving change in the enterprise landscape in the coming year.
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I wrote this quick primer so you don't have to parse all the information out there and instead can learn the things you need to know to quickly get started.
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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.
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A comprehensive course on Hadoop for just $39.
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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.
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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.
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Researchers are working to convert massive sets of big data into unique sound patterns in order to improve anomaly detection and comprehension.
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Natural language processing is a technology that combines big data and artificial intelligence together and brings it to the table.
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Flipkart the indian online retail giant is on a hiring spree and looking for data scientists actively in order to further their AI in India program.
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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.
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The firm's top 10 prognostications on where technology will take us include shopping in AR, corporate fitness programs, and much more.
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Frustrations of the data scientist! Yes, I am a data scientist and yes, you did read the title correctly, but someone had to say it. We read so many stories about data science being the sexiest job of the 21st century and the attractive sums of money that you can make as a data scientist that it can seem like the absolute dream job.
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What I Would Have Told Myself a Few Years ago Two years ago, I shared my experience on doing data science in the industry. The writing was originally meant to be a private reflection for myself to celebrate my two year twitterversary at Twitter, but I instead published it on Medium because I believe it could be very useful for many aspiring data scientists.
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Before I get to the meat of this post, I want to make one thing super clear: you do not need a graduate degree to be a data scientist. Unless you're doing cutting-edge machine learning research (which, let's be honest, doesn't describe 99.9% of data scientists including me!), a degree in how to do research just isn't necessary. Anyone who tells you differently is trying to sell you something probably a data science graduate degree.
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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!).
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What Skills Do You Need To Go From Jr. To Sr. Developer. The role of a data scientist still varies from company to company and even team to team. This makes it much harder for companies to create a standardized growth plan for their data scientists.
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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.
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I recently joined the Enterprise Insight Studio team at Accenture's global centre for innovation in Dublin as an Artificial Intelligence (AI) Software Engineering.
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Are Coursera courses still free? At Class Central, I get that question so often that I wrote a guide to answer it.
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A great CV might get you an interview. A bad CV will be thrown away!
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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.
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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.
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The most important lessons I've learned so far... Ok, so it's actually 14 months but it didn't have the same ring to it as "1 year". I've spent that 14 months at one company, News UK. I'm now about to embark on a new journey at Deliveroo as a consumer and growth algorithms data scientist, so I thought now would be a good time to reflect on the things that I've learned during my time at News UK.
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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.
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We discuss 8 ways to perform simple linear regression in Python ecosystem. We gloss over their pros and cons, and show their relative computational complexity measure.
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With data now easier to collect and analyze than ever before, companies are recognizing the business value of such information - and the need to tap into it quickly. Enter the chief data officer (CDO), the newest role in the C-suite that is responsible for defining and putting into place a data management strategy.
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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.
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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.
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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.
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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.
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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.
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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.
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I followed the latest trend also downloaded the zip archive of my Facebook data, but what I found after analyzing the data is not the thing I was expecting.
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Don't "do something interesting" with data, AI, and ML-do something human-centered
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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.
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As an organizer for a data science meetup group, I am often asked this question.
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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.
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A person new to the Data Science field details their salary and the negotiation process.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also, data professionals reported experiencing around three challenges in the previous year. A principal component analysis of the 20 challenges studied showed that challenges can be grouped into five categories.
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The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017.
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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.
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As digital marketing strategies grow more sophisticated and complex, businesses find themselves wrestling with more data than ever.
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A recent survey of over 16,000 data professionals showed that the most used platforms/resources included Kaggle, Online courses and Stack Overflow Q&A. Additionally, the most useful platforms/resources included Personal Projects, Online courses and Stack Overflow Q&A.
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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%).
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I still learn new knowledge everyday with my growing passion in Data Science field. To pursue different career track as a graduating physics student there must be 'Why' and 'How' questions to be answered.
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Student demand for degrees in the subject soars as employers seek skilled analysts
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Results from the Kaggle State of Data Science and Machine Learning survey of data professionals revealed that job satisfaction varies widely across job titles. Data professionals who reported the highest level of job satisfaction were: 1) Machine Learning Engineers, 2) Data Scientists and 3) Predictive Modeler. Data professionals who reported the lowest level of job satisfaction were: 1) Engineers, 2) DBA/Database Engineers and 3) Programmers.
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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.
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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.
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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.
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In the past few years, I have met up with a lot of employers and conducted interviews for training program. Through the conversations and interviews and seeing the end results, I thought I will share more on how to prepare for your resume and even the interviews for a data science role.
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Using Reinforcement Learning to Tackle CitiBike Rebalancing Problems and Beyond
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Taking decisions based on Data is not only an inherent sense but a strong commercial sense too.
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Data science is playing a significant role in managing customer experience. It has contributed to nearly all areas of the CRM. There are still a number of companies, yet to embrace this technology for enhancing their marketing methodologies. One of the main reasons is the lack of awareness of how data science can help engage customers more effectively, and, moreover, an inability to quantify the potential improvements.
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NEC Corporation (TSE: 6701) today announced the establishment of dotData, Inc., a new startup company based in Cupertino, California, in the heart of Silicon Valley, that develops and globally provides software that automates data science processes using artificial intelligence (AI).
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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.
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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.
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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.
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I participated in Santander Customer Satisfaction challenge, ran on Kaggle for 2 months and got into top 1%. Here, I would be discussing my approach to this problem.
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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).
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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.
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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!
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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.
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Becoming data scientist is really hard. Each & every project requires a different kind of programming language or software to focus on. There is an immense list of tools for data science. Here are top 8 data science tools in 2018:
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Data Science is a central part of virtually everything from business administration to running local and national governments. At its core, the subject aims at harvesting and managing data so organizations can run smoothly
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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.
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Recent advances in processing large amounts of data have generated a plethora of new opportunities to improve individual lives and the welfare of our societies. For example, smart meters monitoring domestic electricity consumption can help save electricity when not at home or suggest the cheapest electricity supplier depending on the consumption pattern.
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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?
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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
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Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. The data science industry's job market is hot today.
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Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.
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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.
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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.
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Google unveiled an AI that can make reservations over the phone. Has the Turing Test been finally passed?
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Not everyone who can talk about "entropy loss" has the engineering skills to back it up. And not every hiring manager knows the difference between clickers and coders.
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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.
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Part four of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the introduction.
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