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by Mike Bowles 

Mike Bowles is a machine learning expert and serial entrepreneur. This is the second post in what is envisioned as a four part series that began with Mike's Thumbnail History of Ensemble Models.

In a November 2013 TED talk, Philip Evans describes how data will transform business by fundamentally reshaping strategy. He describes how as the internet revolution moves into its third decade — defined by data sharing — that falling transaction costs are removing the glue holding vertically integrated companies together and allowing smaller, more focused companies to compete and thrive.

 

In case you missed them, here are some articles from March of particular interest to R users:  

Francis Smart offers five excellent reasons to use R, and notes that R is the top Google Search for statistical software. 

If you've got some time to kill this weekend, try this web-based number-matching game, 2048. The goal is to move tiles left, right up and down while merging tiles with the same numbers to create the ultimate 2048 tile. (Based on personal experience, you might want more than a little time — it's quite addictive.)

FastCompany magazine recently published an in-depth feature on Open Science, with a focus on the R language and the ROpenSci project. If you're not familiar with ROpenSci, the article gives a nice introduction from Ted Hart, a member of the ROpenSci development team:

I've been spending the week at the Gartner Business Intelligence and Analytics Summit in Las Vegas, and R has been quite prominent here. Of course, R got namechecked several times on the panel about the Gartner Magic Quadrant for Advanced Analytics, and several of the regular talks mentioned R as well.

by Seth Mottaghinejad, Analytic Consultant for Revolution Analytics

You may have heard before that R is a vectorized language, but what do we mean by that? One way to read that is to say that many functions in R can operate efficiently on vectors (in addition to singletons). Here are some examples:

> log(1) # input and output are singletons
[1] 0

Francis Smart offers five excellent reasons to use R, in a well-researched post ideal for sharing with anyone thinking about making the switch to R. (You might also share this YouTube video for a quick 90-second introduction to R.)