Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
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By: Eric Siegel, president of Prediction Impact, Inc., author of the acclaimed book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Executive Editor of the Predictive Analytics Times, and the founder of Predictive Anaytics World and Text Analytics World

 

 My new book—Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die ( from publisher John Wiley; foreword by Thomas H. Davenport)—is a revealing, accessible primer positioned to appeal well outside our industry. But, if you’re already an expert, here are five reasons to read it nonetheless: New detailed case studies Advanced topics (ensembles, uplift, etc.) An in-depth, startling treatise on privacy A compendium of 147 mini-case studies A means to share your field with your family, friends, or supervisor I took on a rewarding challenge: sharing with layreaders at large a complete picture of

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