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

1. Preface to the Revised and Updated Edition: What's new and who's this book for-the predictive analytics FAQ
2. Preface to the Original Edition: What is the occupational hazard of predictive analytics?
3. Introduction: Prediction effect
4. Liftoff! prediction takes action (deployment)
5. With power comes responsibility: Hewlett-Packard, Target, the Cops, and the NSA deduce your secrets (ethics)
6. Data effect: a glut at the end of the rainbow (data)
7. Machine that learns: a look inside Chase's prediction of mortgage risk (modeling)
8. Ensemble effect: Netflix, crowdsourcing, and supercharging prediction (ensembles)
9. Watson and the jeopardy! challenge (question answering)
10. Persuasion by the numbers: how Telenor, US Bank, and the Obama Campaign engineered influence (uplift)
11. Afterword: Eleven predictions for the first hour of 2022
12. Appendices:
13. A: Five effects of prediction
14. B: Twenty applications of predictive analytics
15. C: Prediction people: cast of "characters"
16. Hands-On Guide: Resources for further leaning