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  • Google's Tensor2Tensor makes it easier to conduct deep learning experiments

    Google's brain team is open sourcing Tensor2Tensor, a new deep learning library designed to help researchers replicate results from recent papers in the field and push the boundaries of what's possible by trying new combinations of models, datasets and other parameters.

    Source: TC
    12015
  • J.P. Morgan wants to hire PhDs who can master machine learning - and markets

    If you want to work on J.P. Morgan's Quantitative and Derivative Strategy team within the bank's Global Research group, then you better have a PhD in one of three areas: applied mathematics, computer science and statistics.

    Source: efinancialcareers
    21645
  • Big data is changing machine learning, from nice-to-have to a must-have

    The big data tsunami bears exciting new profit potential; it also brings with it some daunting challenges, thanks to the General Data Protection Regulation's strict privacy rules, set to be enforced next year. Machine learning is the best weapon businesses have to maximize the bounty of big data and ward off the threats, according to Murthy Mathiprakasam (pictured), director of product marketing at Informatica Corp.

    Source: siliconangle
    18708
  • How to Become a Data Scientist Without a Certification and Degree

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

    Source: Codementor
    54165
  • 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
    29637
  • How we can start career with Machine Learning

    Machine Learning is a subfield of computer science which gives computers the ability to learn without being explicitly programmed. It is concerned with construction of algorithms than can learn and make predictions from data.

    Source: HOB
    13728
  • How to Learn Mathematics for Machine Learning?

    Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

    Source: HOB
    24903
  • 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
    18177
  • 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
    34386
  • 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
    17715
  • 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
    6531
  • 50 amusing Data Science Data sets part 2

    50 data sets that data scientist find amusing.

    Source: HOB
    7824
  • Learn 10 Statistical Techniques to Become Data Scientists Master

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

    Source: HOB
    24243
  • Data Science and Machine Learning Through the Eyes of Fiction World

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

    Source: HOB
    9183
  • 10+ Free E-Books on Mathematics, Machine Learning & Deep Learning

    Getting learners to read textbooks and use other teaching aids effectively can be tricky. Especially, when the books are just too dreary.

    Source: HOB
    58167
  • Deeper You Go Deeper You Learn With These Popular Deep Learning Books

    Books are very useful resource for the learners and every learner always search for the best books to gain insights and here we have the collection of popular deep learning books which are recommended by experienced professionals to read.

    Source: HOB
    20844
  • Frequently Asked Deep Learning Questions During Interview Round By Professionals

    Deep learning is one of the hottest topics of this industry today. Deep Learning is evolving and it is top of the Data Science world. Deep Learning has led to amazing innovations, incredible breakthroughs, and we are only just getting started. A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.

    Source: HOB
    25281
  • How to Become a Data Science Leader in Industry? Do The Maths

    Deirdre Dempsey has decades of experience dealing with data analytics, data science stemming from a strong foundation in mathematics.

    Source: HOB
    8784
  • What Mistakes Are Usually Done By Organizations While Deploying Machine Learning?

    Machine learning offers organizations the potential to make more accurate data-driven decisions and to solve problems. Now organizations are leveraging the machine learning technology and this is not the magic it presents many of the same challenges as other analytics methods.

    Source: HOB
    18933
  • It's A Appeal Road For The Technology Natural Language Processing

    Natural language processing, one of the most exciting components of Artificial Intelligence is all set to rule the way we communicate with the external world. Natural Language Processing uses computational and mathematical methods to analyze the human language to facilitate interactions with computers using conversational language. The most popular approaches to NLP deploy Machine Learning. Natural language processing is improving human-computer conversations at the most advanced levels with applications or systems like Google Duplex, which can act as an agent to perform tasks like making haircut appointments over the phone by conversing with humans.

    Source: HOB
    9462
  • The One Most Important Theorem Every Data Scientist Should Know

    This article serves as a quick guide on one of the most important theorems that every data scientist should know, the Central Limit Theorem.

    Source: HOB
    18564
  • How to Learn Math for Data Science & ML, The Self-Starter Way

    Do you need to have a math Ph.D. to become a data scientist? Absolutely not! This guide will show you how to learn math for data science and machine learning without taking slow, expensive courses.

    Source: HOB
    10710
  • Statistics: The Real Part Of Data Science Know With These Popular Books

    Statistics is difficult. Of course it is, as mostly that's the actual science part in Data Science. But it doesn't mean that you couldn't learn it by yourself if you are smart and determined enough. These books are really good for setting your mind to think more numerical, mathematical and statistical. They also present why statistics is exciting really well.

    Source: HOB
    13650
  • These Data Science & Machine Learning Tools Are The Helping Hand For Those Who Don't Know About Programming

    Programming is an integral part of data science. Among other things, it is acknowledged that a person who understands programming logic, loops and functions has a higher chance of becoming a successful data scientist.

    Source: HOB
    10416
  • Future Of Natural Language Processing is Bright & It's Beyond Our Thinking!!

    Natural language processing, one of the most exciting components of AI is all set to rule the way we communicate with the external world. Natural Language Processing uses computational and mathematical methods to analyze the human language to facilitate interactions with computers using conversational language.

    Source: HOB
    9192
  • If You Are Thinking About Your Next Career Move, You Can Aim For These Technical Jobs!

    If you are a computer science graduate or someone who is thinking to make a career in software development world or an experienced programmer who is thinking about his next career move but not so sure which field you should go then you have a come to the right place.

    Source: HOB
    12342
  • For A Perfect Data Scientist The Knowledge Of Algorithm Is Necessary

    The field of data is concerned with mining the huge volume of data flowing into the organization's warehouses via effective and proper application of scientific and mathematical skills at the same time.

    Source: HOB
    8100
  • Statistical & Mathematical Knowledge With These Books Is The Key To Get Hired As A Data Scientist

    The Data Science candidates hold a strong background in statistics and mathematics is the only criteria of being getting selected at Google. Not just Google, other top companies (Amazon, Airbnb, Uber etc) in the world also prefer candidates with strong fundamentals rather than mere know-how in data science. If you are also interested to work with top brands than it is essential to develop your mathematical understanding of data science.

    Source: HOB
    12693
  • Data Science The Trending Career In The World And Know The Path To Become A Successful Data Scientist

    Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.

    Source: HOB
    40050
  • Know Why Data Science Moved Into Visualization and Machine Learning?

    Data visualization plays a very important part when it comes to communicating the results to the executives. You may have all your fancy formulae and other mechanics at coming to the results, but the executives want to see the results which make sense to them. From the raw data that you have from the various sources, you can get out with certain statistical properties and the sort of analysis that you do and that can then finally be represented in a really meaningful and very precise visual form.

    Source: HOB
    51297
  • With These Books, Gain Knowledge About Statistical Learning For Data Scientist

    The selection process of data scientists at Google gives higher priority to candidates with strong background in statistics and mathematics. Not just Google, other top companies (Amazon, Airbnb, Uber etc) in the world also prefer candidates with strong fundamentals rather than mere know-how in data science.

    Source: HOB
    10488
  • Data Scientist Should Have These Applications In Their Mobile Phones

    Data Science and Machine Learning are changing the world and here with the help of following applications, one can easily increase their skills. And these applications can be accessed from anywhere and most important this didn't charge a single penny from learner's. These apps can improve your listening skills, logical skills, decision-making skills, mathematical skills, statistical skills and much more.

    Source: HOB
    23166
  • 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
    11238
  • Kick Start With Machine Learning As Per Data Scientists Tips

    If you plan to start learning machine-learning models then you'll need a reasonably deep knowledge of math, spanning linear algebra, calculus, and statistics. But for beginners in the field, learning the basics of programming and getting to grips with a language like Python, which is commonly used for machine-learning tasks.

    Source: HOB
    20382
  • 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
    12663
  • Understanding The Term Data Mining And Its Impact On Business

    What is Data Mining? Well, it can be defined as the process of getting hidden information from the piles of databases for analysis purposes. Data Mining is also known as Knowledge Discovery in Databases (KDD). It is nothing but the extraction of data from large databases for some specialized work.

    Source: HOB
    33690
  • RPA: Drawing More Attention In Today's Era

    The term Robotic Process Automation (RPA) is drawing more and more attention nowadays and has put people in a dilemma that whether it is right to use it or not. The use of software along with machine learning and artificial intelligence to manage high-volume repetitive tasks is termed as Robotic Process Automation.

    Source: HOB
    8538
  • 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
    8565
  • Data Science & Machine Learning Platforms Rapidly Changing At The Moment According To Gartner Report

    The tools used for data science are rapidly changing at the moment, according to Gartner, which said we're in the midst of a "big bang" in its latest report on data science and machine learning platforms.

    Source: HOB
    49941
  • Do You Want To Learn Machine Learning? You Need To Be Good At Math

    Would people who are strong in math be good in machine learning? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    13386
  • In Data Science High Salary And Job Prospects Are Major Big Draws

    There is a tremendous amount of data which is generated by every business on a daily basis. The rise of the internet and the introduction of social media platforms have led to an additional spike in the amount of data generated.

    Source: HOB
    16536
  • Which Country Produces The Best Programming Language Programmers & Engineers In The World?

    Many would assume it's the United States. After all, the United States is the home of programming language luminaries such as Bill Gates, Ken Thompson, Dennis Ritchie, and Donald Knuth.

    Source: HOB
    83940
  • These are the Best Books on Blockchain for every Beginner and Advanced Learner

    With so many good features the decentralized technology- Blockchain can provide to the Financial and Banking system it has become necessary to understand the technology and understand the underlying principles governing it. I have written this article to make you learn about Blockchain and have listed 4 books for the same.

    Source: HOB
    6408
  • How a Business Analyst Differ from a Data Scientist

    A Business Analyst is often confused with a Data Scientist. So I have written this article to clear out the differences between the two with the help of clear bullet points.

    Source: HOB
    6855
  • If You Are A Beginner Then Have Handy These Machine Learning Books To Gain Knowledge

    Machine learning and artificial intelligence are growing fields and growing topics of study. While the advanced implementations of machine learning we hear about in the news might sound scary and inaccessible, the core concepts are actually pretty easy to grasp. Here is the list of the most popular resources for machine learning beginners. Some of these books will require familiarity with some coding languages and math, but we'll be sure to mention it when that's the case.

    Source: HOB
    7788
  • Artificial Intelligence is going the Wrong way. Why?

    The Artificial Intelligence community failed to grasp the power of the mind, the most powerful intelligence in the universe because they used computational models.

    Source: HOB
    9594
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