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Predictive Analytics: GET THE BOOK AND RECEIVE FREE ONLINE TRAINING
April 3rd is "Predictive Analytics" Day - not the science, the book! To build awareness of Eric Siegel's new, acclaimed book, "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" (published by Wiley Feb. 19), we're providing an offer ya can't refuse.
ORDER THE BOOK ON APRIL 3 VIA AMAZON (under $15) FOR:
1. Free access to the first of four modules of the author's online training program, Predictive Analytics Applied (http://predictionimpact.com/predictive-analytics-online-training.html)
2. A 35% discount off the full training ($495), or its in-person version, Predictive Analytics for Business, Marketing & Web ($1,495 - Apr 25-26 in NYC - http://businessprediction.com)
3. Automatic entrance into a drawing to receive a pass for any Predictive Analytics World this year (San Francisco, Chicago, DC, Boston, London, or Berlin).
ORDER MULTIPLE COPIES FOR COLLEAGUES AND GET THE FULL TRAINING:
- Order 20 copies and get access to the full online training program Predictive Analytics Applied -- a $495 value for $300 (plus get the 20 books ordered)
- Order 30 & get 2 registrations - a $990 value (& 30 books) for $450
- Order 50 & get 4 registrations - a $1,980 value (& 50 books) for $750
- Order 100 & get 10 registrations - a $4,950 value (& 100 books) for $1,500
- Plus get 5 more registrations for every 50 copies beyond 100
HOW TO TAKE THIS OFFER: http://www.pawcon.com/blog/?p=907
MORE ABOUT THE BOOK:
Well received by a broad readership, the book has landed as the #1 Best Seller in each of two different categories on Amazon. However, note there are five reasons this book matters to experts: http://pawcon.com/patimes/january13/
VIEW THE INTERVIEW - Eric Siegel answers 8 questions about predictive analytics: Why is it important, did Nate Silver use it, is it a "big data" thing, and more. http://pawcon.com/book/videos.php
"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
Read the annotated table of contents and several excerpts: http://www.pawcon.com/book/excerpts.php
More info: http://www.thepredictionbook.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 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.
4. Privacy and other civil liberty concerns. The author's treatise on predictive analytics' ethical realm, a chapter entitled, "With Power Come 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?
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.