In anticipation of his upcoming conference keynote presentation, UPS Analytics – The Road to Optimization, at Predictive Analytics World San Francisco, 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
“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,...
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...
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...
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...
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...
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...
(Part 5 of 11 of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Inducing models from data has the virtue of looking at the data afresh, not constrained...
Building predictive analytics solutions is very much in-vogue for most organizations today. Historically, practitioners needed to educate businesses on the value of data mining and predictive analytics. Now, the concept and value of predictive analytics is widely...
(adapted from Chapter 13 of the Handbook of Statistical Analysis and Data Mining Applications) After a first pass of training and evaluating a model, you may find you need to improve its results. Here is a...
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