Machine Learning Times
Machine Learning Times
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AI and ML in Health Care: A Brief Review
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Visualizing Decision Trees with Pybaobabdt
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Correspondence Analysis: From Raw Data to Visualizing Relationships
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Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
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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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