Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
SHARE THIS:

7 years ago
Doppelganger Discovery: How Baseball Sabermetrics Inspires Predictive Analytics

 This author will present at Predictive Analytics World, Oct 29 – Nov 2 in New York. This article is excerpted from his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. The book delivers a fresh overview of big data with an emphasis on the intriguing insights revealed by Google search trends. The book also draws a new perspective on the power and peril of deployed machine learning (calling it “doppelganger discovery”). Click here for information about Seth’s upcoming PAW New York presentation and book signing. Here’s how Bill Simmons, a sportswriter and

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.