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 ...
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...
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...
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...
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 ...
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...
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...
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...
Most people think data science is smart people doing very smart stuff. Well that’s not it. Data science is just another subject involving its own bit of subtle complexi...
Summary: If you want to capitalize on all the amazing advancements in data science take a look at these two hot growth areas for IoT. It’s likely that these wil...