Four Reasons to Read the New Book “Predictive Analytics”
Eric Siegel's breakout book, "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" has been called "The Freakonomics of big data," and "the definitive book of this industry" that is "an operating manual for 21st century life."
Eric Siegel's breakout book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Published by Wiley; foreword by Thomas H. Davenport) has been called "The Freakonomics of big data," and "the definitive book of this industry" that is "an operating manual for 21st century life."
At less than $15, this book and its Kindle version hold the #1 and #2 Best Seller positions in both "Business Planning & Forecasting" and "Econometrics" on Amazon.com.
Four reasons to read Predictive Analytics:
1. New case studies. Find detailed stories you have never before heard from Hewlett-Packard, Chase, and the Obama Campaign. And did you know that John Elder once invested all his own personal money into a blackbox stock market system of his own design? That's the opening story of Chapter 1.
2. Complete conceptual coverage. Although packaged with catchy chapter titles, the conceptual outline is fundamental: 1) deployment, 2) civil liberties, 3) data, 4) core modeling, 5) ensemble models, 6) IBM's Jeopardy!-playing Watson, and 7) uplift modeling (aka net lift or persuasion modeling).
3. A cross-industry compendium of 147 cases. This comprehensive collection of mini-case studies serves to illustrate just how wide the field's reach extends. A color insert, it includes a table for each of the verticals: Personal Life, Marketing, Finance, Healthcare, Crime Fighting, Reliability Modeling, Government and Nonprofit, Human Language and Thought, and Human Resources. One reviewer said, "The tables alone are worth the price of admission."
4. Privacy and other civil liberty concerns. The author's treatise on predictive analytics' ethical realm, a chapter entitled "With Power Comes Responsibility," addresses the questions: In what ways does predictive analytics fuel the contentious flames surrounding data privacy, raising its already-high stakes? What civil liberty concerns arise beyond privacy per se? What about predictive crime models that help decide who stays in prison?
Attend Predictive Analytics World and receive a complimentary copy -
events in Toronto,
London, and Berlin.
View the interview with the author that answers eight questions about predictive analytics: Why is it important, did Nate Silver use it, is it a "big data" thing, and more.
"Written in a lively language, full of great quotes, real-world examples, and case studies, it is a pleasure to read. The more technical audience will enjoy chapters on The Ensemble Effect and uplift modeling-both very hot trends. I highly recommend this book!"
- Gregory Piatetsky-Shapiro, Editor, KDnuggets; Founder, KDD Conferences
"Exciting and engaging-reads like a thriller!"
- Marianna Dizik, Statistician, Google
What is the occupational hazard of predictive analytics? Read the full preface.
More info: www.thepredictionbook.com
"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, Nerds on Wall Street: Math, Machines and Wired Markets
"This book is an operating manual for 21st 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, The Numerati and Final Jeopardy: Man vs Machine and the Quest to Know Everything
Book description: This rich, entertaining primer by former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of predictive analytics, showing how predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime-fighting, and boosts sales.
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