Predictive Analytics Times
Predictive Analytics Times
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The Art of Data Science
 With much of the latest discussion...
Wise Practitioner – Predictive Analytics Interview Series: Ashley Walsh at LeanTaas
 In anticipation of her upcoming conference...
Twelve Hot Deep Learning Applications Featured at Deep Learning World
  For today’s leading deep learning...
New Book: Stephen Few’s “Big Data, Big Dupe” Smackdown
 Five years ago, in 2013, two...
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3 years ago
What Programming do Predictive Modelers Need to Know?

 In most lists of the most popular software for doing data analysis, statistics, and predictive modeling, the top software tools are Python and R—command line languages rather than GUI-based modeling packages. There are several reasons for this, perhaps most importantly that they are free, they are robust programming languages supported by a very broad user community, and they have extensive sets of algorithms. One recent survey of software was published at r4stats.com (http://r4stats.com/articles/popularity/) and contains additional metrics not usually found in software comparisons, including scholarly articles that include software, google scholar hits, and job trends in addition to the more

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