This is the firstin a series of columns of statistical learning for business intelligence (BI). Column one contrasts what’s come to be called statistical or machine learning (ML) with traditional statistical (TS) methods for predictive modeling. Subsequent columns will discuss many of the latest statistical learning procedures and identify software for deployment. Illustrations will be drawn from business applications.

My fondness for the R statistical computing platform is no secret. R combines two current passions at OpenBI: statistical analysis and open source software. Both the R platform and community appear to be growing exponentially in the academic, research and, more recently, business worlds. Increasingly, the benefits of this growth are manifest to BI.

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