What Exactly is Watson?
Summary: Next time you bring up Artificial Intelligence and your non-data scientist friends all say “Watson” here’s some perspective you can offer. Their unders...
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Going Deeper into Regression Analysis with Assumptions, Plots & Solutions
This article on going deeper into regression analysis with assumptions, plots & solutions, was posted by Manish Saraswat. Manish who works in marketing and Data Scien...
Book: Python Machine Learning
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python’s most powerful open-source l...
Deep Learning for Everyone – and (Almost) Free
Summary: The most important developments in Deep Learning and AI in the last year may not be technical at all, but rather a major change in business model. In the spa...
The Death of the Statistical Tests of Hypotheses
Some foundations of statistical science have been questioned recently, especially the use and abuse of p-values. See also this article published in FiveThirtyEight.com....
Independent Analytics Vendor (IAV) – a new vendor category?
ISVs are commonplace in software and technology business. Per Wikipedia, an independent software vendor (ISV) is an organization specializing in making software, designed...
Apache Spark and R : The best of both worlds.
As folks working in the field of Data Science and Analytics would know, R is one of the best languages to do data analytics and machine learning. Its simple and easy to u...
Increase spend under management, increase savings
By Matt Holzapfel, procurement/sourcing product lead at Tamr Our previous post discussed the challenges procurement must overcome to improve its productivity. Fortunat...
An example machine learning notebook
This notebook was written by Dr. Randal S. Olson from GitHub. In this notebook, Randal is going to go over a basic Python data analysis pipeline from start to finish to ...
Ten simple rules to use statistics effectively
Under growing pressure to report accurate findings as they interpret increasingly larger amounts of data, researchers are finding it more important than ever to follow so...