My book launches one week from today – Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (published by Wiley)

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Excerpts: access the Foreword (by Thomas Davenport), preface, and full Introduction – plus other articles and excerpts

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TABLE OF CONTENTS – a couple sample chapters:

INTRODUCTION: THE PREDICTION EFFECT

How does predicting human behavior combat risk, fortify healthcare, toughen crime fighting, and boost sales? Why must a computer learn in order to predict? How can lousy predictions be extremely valuable? What makes data exceptionally exciting? How is data science like porn? Why shouldn't computers be called computers? Why do organizations predict when you will die?

CHAPTER 4:
THE MACHINE THAT LEARNS: A LOOK INSIDE CHASE'S PREDICTION OF MORTGAGE RISK

What form of risk has the perfect disguise? How does prediction transform risk to opportunity? What should all businesses learn from insurance companies? Why does machine learning require art in addition to science? What kind of predictive model can be understood by everyone? How can we confidently trust a machine's predictions? Why couldn't prediction prevent the global financial crisis?

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