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Get "Predictive Analytics" - the Book - and Enjoy Free Online Training
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Bobbe
Mar 13, 2013, 10:51:17 AM3/13/13
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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.
http://www.thepredictionbook.com
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.
http://www.thepredictionbook.com
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