- Cover
- Praise for Predictive Analytics
- Title Page
- Copyright
- Dedication
- Foreword Thomas H. Davenport
- Preface to the Revised and Updated Edition
- Preface to the Original Edition
- Introduction: The Prediction Effect
- Chapter 1: Liftoff! Prediction Takes Action (deployment)
- Chapter 2: With Power Comes Responsibility: Hewlett-Packard, Target, the Cops, and the NSA Deduce Your Secrets (ethics)
- Chapter 3: The Data Effect: A Glut at the End of the Rainbow (data)
- Chapter 4: The Machine That Learns: A Look inside Chase's Prediction of Mortgage Risk (modeling)
- Chapter 5: The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction (ensembles)
- Chapter 6: Watson and the Jeopardy! Challenge (question answering)
- Chapter 7: Persuasion by the Numbers: How Telenor, U.S. Bank, and the Obama Campaign Engineered Influence (uplift)
- Afterword: Eleven Predictions for the First Hour of 2022
- Appendices
- Hands-On Guide: Resources for Further Learning
- Acknowledgments
- About the Author
- Central Tables
- Table 1: Family and Personal Life
- Table 2: Marketing, Advertising, and the Web
- Table 3: Financial Risk and Insurance
- Table 4: Healthcare
- Table 5: Law Enforcement and Fraud Detection
- Table 6: Fault Detection, Safety, and Logistical Efficiency
- Table 7: Government, Politics, Nonprofit, and Education
- Table 8: Human Language Understanding, Thought, and Psychology
- Table 9: Workforce: Staff and Employees
- Index
- End User License Agreement
Predictive Analytics
The Power to Predict Who will Click, Buy, Lie, or Die
Eric Siegel
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