Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...
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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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