What Does A Data Scientist Really Do?
The world of big data and data science can often seem complex or even arcane from the outside looking in. In business, a lot of people by now probably understand the ba...
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Increasing role of Analytics in Sports
The most popular example of application of analytics in sports is from the Hollywood movie Moneyball, which is based on the true story of a baseball coach who assembles a...
Introduction to Outlier Detection Methods
This post is a summary of 3 different posts about outlier detection methods. One of the challenges in data analysis in general and predictive modeling in particular is ...
Top 20 Big Data Experts to Follow (Includes Scoring Algorithm)
This article has two parts: Listing the top 20 experts, along with their Twitter handle, rank in reverse order, number of Twitter followers, and Klout score. We hope to s...
The Future of Artificial Intelligence is Here
By: Abdul Razack, SVP & head of platforms, big data and analytics at Infosys Artificial intelligence is rapidly changing the business and consumer landscape, but has...
What statisticians think about data scientists
Interesting to read what some statisticians write about data science, on the American Statistical Association (ASA) blog. Most of us don’t care about our job title...
Year in Review: Deep Learning Breakthoughts 2016
Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs. (For those of you who are interested in ...
DSC Webinar Series: The Past, Present and Future of Data Science A Live Roundtable
This latest Data Science Central Webinar was recorded from a live roundtable discussion with the introduced members of the Pivotal Data Science team. This is a truly uniq...
Stacking models for improved predictions: A case study for housing prices
This blog was originally published on my website. If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predi...
R, Python or SAS: Which one should you learn first?
Python, R and SAS are the three most popular languages in data science. If you are new to the world of data science and aren’t experienced in either of these languages...