Last month I made the case for discussing model deployment. One of the mistakes I see organizations make related to deployment is this: after the model is deployed, there is little or no thought about that model any more. This reaction is perfectly understandable. I know after I finish building models, especially ones that were difficult to...
Recently, Nissan Motor announced that they will release a self driving car by 2020. According to Karl Brauer of Kelley Blue Book, “The technology to create self-driving cars is already here, as sci-fi as it...
Prediction isn’t just for the stock market. Trading is just one of many ways to cash in on quantitative foresight. For mass marketing – and even presidential campaigns – it’s another story. In those areas, putting odds...
Every day’s a struggle. I’ve faced some tough challenges such as which surgery to get, how to invest for my business and even how to deal with identify theft. With so much stuff coming at me from...
(Part 2 of 11 of the Top 10 Data Mining Mistakes, drawn largely from Chapter 20 of the Handbook of Statistical Analysis and Data Mining Applications)...
One of the most challenging aspects of the retail process is the collaboration between retailers and their suppliers or vendors. No matter how prepared a retailer can be they are still dependant on the vendor to provide...
The Cross Industry Standard Process for Data Mining (CRISP-DM) is the leading published methodology for Data Mining (DM), and by extension, Predictive Analytics (PA). I use it routinely as I lead PA projects and when I...
This BeyeNETWORK spotlight features Ron Powell's interview with Eric Siegel, founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die...
While writing my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a certain well-known book strongly influenced me to make the science accessible, relevant, and even entertaining: Freakonomics: A...
Technology: complex and alienating, or promising and fascinating?...
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