In this volume, we discuss Data Mining and The Birthday Paradox.
Big Data has become the subject of Big Hype, much as Social Media and Mobile were recently. Our goal today is to peel back the hype and discover some of the key principles behind Big Data so we can make the best possible decisions about when, where, and how to apply it.
For those of you who live in a data cave on the West Coast like I do, it may come as a surprise that there was a blizzard this past weekend—a BIG one. The ‘Nemo’ blizzard, caused by a merging of two low pressure systems that originated in the central and southeast US, then migrated to the north-eastern seaboard—affected millions of people in the US Northeast, with heavy snow and multiple power-outages.
Three months ago, I deployed with the 101st Combat Aviation Brigade of the 101st Airborne Division (Air Assault) to Afghanistan as the Experimental Test Pilot for Task Force Destiny.
(NOTE: Earlier this year, RichRelevance and CNET announced their strategic partnership to integrate CNET’s rule-based Intelligent Cross Sell recommendations with RichRelevance’s behaviorally-based RichRecs™ offering to offer the industry’s first truly robust personalization solution for the world’s largest online retail sites. Patrick Monasterio is a member of the CNET/{rr} development team and is working with joint customers on integrating this new solution.)
Starting today, IBM’s Watson supercomputer will go up against a pair of human Jeopardy champions. Regardless of whether man or machine comes out on top, it will be a banner day for a machine learning technique called ensemble learning.