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For more case studies in employee churn, see Predictive Analytics World for Workforce, March...
Last year, a life insurance agent came to Nathan DeWall’s Lexington, Kentucky, home to...
In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “UPS Analytics – The Road to Optimization,” we asked Jack Levis – Senior Director, Process Management at UPS – a few questions about his work in predictive analytics. Q.In your work with predictive analytics, what behavior do your models predict? A. We use […]
“Can Machines Think?” was the cover of Time magazine a generation ago. The impetus was a face-off between world chess champion Gary Kasparov and IBM’s “Deep Blue” chess machine. The first match was won by us humans, but algorithms and hardware won out in the end. The spectacle occasioned wild speculation. “Of course computers can […]
Industry leader and consultant Geert Verstraeten serves as program chair for Predictive Analytics World London. Click here for information about speaking at PAW London as well as 9 other annual PAW events. Granted, the fear of public speaking is often considered the most common of all phobias. In some (non-scientific) studies, evidence suggests that people […]
Defining a target variable is one of the preliminary steps in building a predictive model. But is this really a simple and straightforward process. For example, I want to optimize insurance sales to existing customers on a database. The practitioner’s first inclination is to develop a simple insurance response model. Although this would most definitely […]
Industry leader and author Dean Abbott will be presenting at Predictive Analytics World Boston (Oct 5 – 9) on “Data Preparation from the Trenches: 4 Approaches to Deriving Attributes.” Abbott will also run two post-conference full-day training workshops, “Advanced Methods Hands-on: Predictive Modeling Techniques” (where his book Applied Predictive Analytics will be given to attendees), […]
In my last two posts I described why overfitting predictive models is dangerous beyond the most obvious problem, namely that accuracy on new data is lower than expected. In the next few posts, I’ll describe how to recognized that overfitting may be occurring, and some common approaches to remove or mitigate the effects of overfitting. […]
Presented by: Pasha Roberts, Chief Scientist, Talent Analytics, Corp. Watch Webinar. Pasha Roberts, Chief Scientist at Talent Analytics, Corp., discusses Talent Analytics’ first step when using a predictive analytics approach for solving employee attrition challenges. Severe employee attrition can be a thing of the past. It need not be the “cost of doing business”. Talent […]