Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

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Overview

Praise for Predictive Analytics

"What Nate Silver did for poker and politics, this does for everything else. A broad, well-written book easily accessible to non-nerd readers."
—DAVID LEINWEBER, author of Nerds on Wall Street: Math, Machines and Wired Markets

"This book is an operating manual for twenty-first-century life. Drawing predictions from big data is at the heart of nearly everything, whether it's in science, business, finance, sports, ...

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Overview

Praise for Predictive Analytics

"What Nate Silver did for poker and politics, this does for everything else. A broad, well-written book easily accessible to non-nerd readers."
—DAVID LEINWEBER, author of Nerds on Wall Street: Math, Machines and Wired Markets

"This book is an operating manual for twenty-first-century life. Drawing predictions from big data is at the heart of nearly everything, whether it's in science, business, finance, sports, or politics. And Eric Siegel is the ideal guide."
—STEPHEN BAKER, author of The Numerati and Final Jeopardy: Man vs. Machine and the Quest to Know Everything

"Simultaneously entertaining, informative, and nuanced. Siegel goes behind the hype and makes the science exciting."
—RAYID GHANI, Chief Data Scientist, Obama for America 2012 Campaign

"This is Moneyball for business, government, and healthcare."
—JIM STERNE, founder, eMetrics Summit; chairman, Digital Analytics Association

"Predictive Analytics is not only a deeply informative dive into a topic that is critical to virtually every sector of business today, it is also a delight to read."
—GEOFFREY MOORE, author of Crossing the Chasm

"The future is right now—you're living in it. Read this book to gain understanding of where we are and where we're headed."
—ROGER CRAIG, record-breaking analytical Jeopardy! champion; CEO, Cotinga

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Editorial Reviews

From the Publisher

Praise for Predictive Analytics

"What Nate Silver did for poker and politics, this does for everything else. A broad, well-written book easily accessible to non-nerd readers."
—DAVID LEINWEBER, author of Nerds on Wall Street: Math, Machines and Wired Markets

"This book is an operating manual for twenty-first-century life. Drawing predictions from big data is at the heart of nearly everything, whether it's in science, business, finance, sports, or politics. And Eric Siegel is the ideal guide."
—STEPHEN BAKER, author of The Numerati and Final Jeopardy: Man vs. Machine and the Quest to Know Everything

"Simultaneously entertaining, informative, and nuanced. Siegel goes behind the hype and makes the science exciting."
—RAYID GHANI, Chief Data Scientist, Obama for America 2012 Campaign

"This is Moneyball for business, government, and healthcare."
—JIM STERNE, founder, eMetrics Summit; chairman, Digital Analytics Association

"Predictive Analytics is not only a deeply informative dive into a topic that is critical to virtually every sector of business today, it is also a delight to read."
—GEOFFREY MOORE, author of Crossing the Chasm

"The future is right now—you're living in it. Read this book to gain understanding of where we are and where we're headed."
—ROGER CRAIG, record-breaking analytical Jeopardy! champion; CEO, Cotinga

Read More Show Less

Product Details

  • ISBN-13: 9781118356852
  • Publisher: Wiley
  • Publication date: 2/18/2013
  • Edition number: 1
  • Pages: 320
  • Sales rank: 87,413
  • Product dimensions: 5.90 (w) x 9.10 (h) x 1.00 (d)

Meet the Author

ERIC SIEGEL, PhD, founder of Predictive Analytics World and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. Eric is a former Columbia University professor—who used to sing educational songs to his students—and a renowned speaker, educator, and leader in the field.

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Table of Contents

Foreword Thomas H. Davenport xiii

Preface xv

What is the occupational hazard of predictive analytics?

Introduction: The Prediction Effect 1

Chapter 1: Liftoff! Prediction Takes Action (deployment) 17

Chapter 2: With Power Comes Responsibility: Hewlett-Packard, Target, and the Police Deduce Your Secrets (ethics) 37

Chapter 3: The Data Effect: A Glut at the End of the Rainbow (data) 67

Chapter 4: The Machine That Learns: A Look Inside Chase’s Prediction of Mortgage Risk (modeling) 103

Chapter 5: The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction (ensembles) 133

Chapter 6: Watson and the Jeopardy! Challenge (question answering) 151

Chapter 7: Persuasion by the Numbers: How Telenor, U.S. Bank, and the Obama Campaign Engineered Influence (uplift) 187

Afterword 218

Ten Predictions for the First Hour of 2020

Appendices

A. Five Effects of Prediction 221

B. Twenty-One Applications of Predictive Analytics 222

C. Prediction People—Cast of "Characters" 225

Notes 228

Acknowledgments 290

About the Author 292

Index 293

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    Posted September 21, 2013

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