Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
FAQ for Eric Siegel’s New Book, “The AI Playbook”
  There are plenty of questions to answer about...
Announcing Eric Siegel’s New Book: The AI Playbook
  Dear Reader, I’m excited to announce the forthcoming,...
Predictive Analytics for the Call Center
 So, you just received your shiny new smart watch....
MLW Preview Video: Gulrez Khan, Data Science Lead at PayPal
 In anticipation of his upcoming keynote presentation at Predictive...

Industry News

6 Blackjack Lessons to Improve Your Marketing Analytics

 The game of  blackjack offers six important lessons for managers trying to make sense of marketing data, according to the man who crunches the numbers for Orbitz Worldwide. Sameer Chopra, vice president of advanced analytics for the travel company, shared those tips Tuesday in a keynote address to about 250 data scientists and analysts attending

I Predict: The Rise of Predictive Analytics

 You don’t have to be Nostradamus to predict that predictive analytics is going to become more and more important to digital marketers. Gartner sees an ongoing shift from analyzing historical descriptive data in aggregate to tell the...

Applications of Predictive Modeling in Drug Development

 Recently, various empirical and semi-empirical models embedded in different modeling tools have been developed and recognized for their role in predicting pharmacokinetics of drugs in humans. These models have also been used to evaluate the effects of...

Proactively fighting fraud with data

 A recent SAP survey found that 41 percent of financial services organization felt that predictive analytics are more about minimizing risk than exploiting opportunities. The way that statistic is phrased, it sounds like the financial industry views...

The Future of Customer Service: Predictive, Personalized

 The future of customer service is scary and rewarding at the same time. It’s scary because the machine will know everything about you. It’s rewarding because shopping will become much easier as the machine makes more decisions...

Why Predictive Analytics Marketplaces are not taking off, and how to fix it

 Three main hurdles holding back Predictive Analytics Marketplaces are a highly fragmented data mining tools market, limited support for customization, and lack of commitment. We examine how to overcome them. An earlier article on KDnuggets noted that...

Breakthrough: How to Avert Analytics’ Most Treacherous Pitfall

 This article will make you feel better. And you do need to feel better, if you are one of the many of us who practice analytics—or who must consume and rely on analytics—and find ourselves carrying tension...

Eric Siegel: An interview by Bob Morris

 Eric Siegel, PhD, founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times.com, makes the how and why of predictive analytics understandable and captivating. In addition to being the author...

Predictive Analytics: Going beyond gut feeling in the search for new customers

 In the never-ending quest for pre-qualified leads, increasing numbers of insurance companies are turning to predictive analytics to net potential customers from that great sea of people known as the general population. Popularized in the 2011 movie,...

Data Mining Group Updates PMML

 Version 4.2 of the Predictive Model Markup Language (PMML), which aims to make it easier to develop predictive analytics apps, is now available. The Data Mining Group, a vendor-led consortium of companies and organizations developing standards for...

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