San Francisco, August 28, 2013 Datamark Increases Response Rates of Direct Mail and Digital Marketing Campaigns by as much as 200 Percent KXEN, the leading provider of predictive analytics for business users, today announced that Datamark, the...
I'm a bit late catching up on this, but Mario Inchosa (Revolution Analytics US Chief Scientist) gave a standing-room-only talk on high-performance predictive analytics in R and Hadoop at last month's Hadoop Summit. In the talk, he described some of the progress we've made integrating the ScaleR parallel external-memory algorithms into the Hadoop platform.
Few understand the what, why, and how of predictive analytics. Here’s a short, ordered reading list designed to get you up to speed super fast:
The Signal And The Noise: Why So Many Predictions Fail — but Some Don’t by Nate Silver. Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, or Die by Eric Siegel.Uncontrolled: The Surprising Payoff Of of Trial-and-Error For Business, Politics, and Society by Jim Manzi.Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank, and Mark Hall.The Forrester Wave: Big Data Predictive Analytics Solutions, Q1 2013 (Forrester client access only).
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