Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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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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