It’s that time again – time to take the Rexer Analytics Data Science Survey Rexer Analytics has been conducting this survey since 2007! Each survey explores the analytic behaviors, views, and preferences of data scientists and analytic professionals. This year Karl is working with Eric Siegel and Machine Learning Week to design, promote, and analyze the [...]
eric siegel
Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. Eric, if you don’t know, is the founder of Predictive Analytics World, a leading consultant, and author of “Predictive Analytics“. You can also check out Eric’s new Coursera class. This [...]
I have spoken at Predictive Analytics World a few times and it’s a great event. Predictive Analytics World for Business is coming up April 3-7, 2016 in San Francisco. This is one of the best events for predictive analytics professionals, managers and commercial practitioners. The conference focuses on case studies about data science, on their business impact and [...]
There’s a great article over on Computerworld – 12 predictive analytics screw-ups. They asked some of my favorite data miners (John Elder and Jeff Deal of Elder Research, Eric Siegel of Prediction Impact and Dean Abbott of Abbott Analytics) what they saw as the top ways to screw up predictive analytic projects. The list of 12 [...]
UPDATE: I wrote this review back in March but as part of the series on Marketing Decision Management I am writing about products such as the Portrait Suite so I have added it into the series. I got briefed by the Portrait folks back when they first became part of Pitney Bowes Software but it [...]
My buddy Eric Siegel has just released a new white paper on Uplift Modeling: Predictive Analytics Can’t Optimize Marketing Decisions Without It. Here’s what he says about it: To drive business decisions for maximal impact, analytical models must predict the marketing influence of each decision on customer buying behavior. Uplift modeling provides the means to [...]
A reader of my company’s newsletter recently emailed me and asked me if I could highlight the difference in how one approaches building a predictive model when compared to more “traditional” descriptive models. And why the approaches are different. He went on to say that he had a colleague who insists that developing aggregate statistical [...]
