Data Mining oppurtunity for Health Care providers
We all are aware that data mining holds great potential for healthcare providers to use data mining and data analysis in such a way that the physicians identify effective...
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7 Articles About Hadoop, IoT, AI, DataViZ, NLP, and Fake News
Top 10 Commercial Hadoop Platforms Hadoop, the software framework which provides the necessary tools to carry out Big Data analysis, is widely used in industry and comm...
Common Probability Distributions: The Data Scientist’s Crib Sheet
This post was written by Sean Owen. Data scientists have hundreds of probability distributions from which to choose. Where to start? Data science, whatever it may be, r...
Analyzing The Hype Around Big Data – A Balanced View
In my previous articles on ‘What I Wanted To Know About Big Data But Was Afraid To Ask’ series, I covered ‘What is Big Data’ and ‘Who came up with Big Data a...
Why Topological Data Analysis Works
This article is written by Gunnar Carlsson. Topological data analysis has been very successful in discovering information in many large and complex data sets. In this pos...
Reasons to hire a Director of Data Science before hiring your first data scientist
This was contributed by Anirban Das. He is a Data Scientist at Niara If you search on LinkedIn for data-driven large companies like Amazon, Netflix, Facebook, Uber, Ai...
Who came up with the name Big Data?
Big Data has truly come of age in 2013 when Oxford English Dictionary introduced the term “Big Data” for the first time in its dictionary. That of course begs the que...
In Japan, "Artificial Intelligence" comes to be a super star while "Data Scientist" is fading away
I published a post about the current status of “Data Scientist” in Japan, as a periodic follow-up analysis since two years ago. Its trend still remains, but i...
The Typical Data Scientist Profile, in a few Pictures
Interesting survey produced by 365datascience.com, summarized in a few infographics, and based on LinkedIn profiles.. Summary: R (53%) and Python (53%) are the programmin...
Free eBook: Applied Data Science (Columbia University)
Published in 2013, but still very interesting, and different from most data science books. Authors: Ian Langmore and Daniel Krasner.. This book focuses more on the stat...