Eric Siegel’s Book

Message from Founder of Predictive Analytics Conference, Eric Siegel whom we have interviewed here

To drive early orders for my about-to-launch book, “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” (published by Wiley Feb 18), we’re providing this offer:

PREORDER NOW ($15 on Amazon, currently) and receive:

1) FREE ACCESS to the first of four modules of my online training program, “Predictive Analytics Applied”

2) A 40% DISCOUNT CODE off the full online training ($495), or its in-person version, “Predictive Analytics for Business, Marketing and Web” ($1,495 – April 25-26 in NYC)



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“Exciting and engaging – reads like a thriller!”
– Marianna Dizik, Statistician, Google

In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction.

“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

With a foreword from Thomas H. Davenport, coauthor of Competing on Analytics.

Blog Disclaimer-Eric is founder of PAW Conferences , which is a Blog Sponsor here.


R and SAS- Together again at PAWS

Two of my favorite speakers ( though maybe not favorite to each other) speak at PAWS ,

Anne Milley from SAS and David Smith, REvolution Computing.Also a great author and writer, Stephen Baker from Numerati ( that mathematical equivalent of The Godfather). More events at the link below.

Hmmmm- I hope they attend each other’s sessions just to keep up, but is that asking too much?


useR Meeting
Room: Magnolia
– Sponsored by  Please join the group at

R is an open source programming language for statistical computing, data analysis, and graphical visualization. R has an estimated one million users worldwide, and its user base is growing. While most commonly used within academia, in fields such as computational biology and applied statistics, it is gaining currency in commercial areas such as quantitative finance and business intelligence.

Among R’s strengths as a language are its powerful built-in tools for inferential statistics, its compact modeling syntax, its data visualization capabilities, and its ease of connectivity with persistent data stores (from databases to flatfiles).

In addition, R is open source nature and extensible via add-on “packages” allowing it to keep up with the leading edge in academic research.

For all its strengths, though, R has an admittedly steep learning curve; the first steps towards learning and using R can be challenging.

This DC R Users Group is dedicated to bringing together area practitioners of R to exchange knowledge, inspire new users, and spur the adoption of R for innovative research and commercial applications.

Wednesday October 21, 2009

Registration & Continental Breakfast

Room: Magnolia
Opportunities and Pitfalls:
What the World Does and Doesn’t Want from Predictive Analytics

Mathematicians and statisticians are churning through mountains of data in their efforts to model and predict human behavior. The goal is to optimize every function possible, from sales and marketing to the enterprise itself. These Numerati are guided by the two dominant models of the late 20th century, the modeling of financial markets and of industrial systems. How do humans fit into these systems? And what will their response be when the analytic systems appear to misunderstand them or invade their privacy?

Stephen Baker joins PAW to directly address the Numerati. In his keynote presentation, Mr. Baker will guide us toward the untapped goldmines where predictive analytics will be embraced and thrive, and teach us to anticipate and maneuver around two central pitfalls: Consumer misperception of us, and our inadvertent mistreatment of them.

Moderator: Eric Siegel, Program Chair, Predictive Analytics World

Speaker: Stephen Baker, BusinessWeek – author, The Numerati

Platinum Sponsor Presentation
Room: Magnolia
Strength in Numbers: ACE!

As more organizations are beginning their analytical journey or reinvigorating their existing efforts, Analytic Centers of Excellence (ACEs) are helping them along the way. The interest in ACEs is growing across industries as organizations seek better ways to tap into their analytic infrastructure-most importantly, scarce high-end analytic expertise to improve results. We will highlight valuable best practices for achieving greater analytic bandwidth realizing more and better evidence-based decisions.

Moderator: Eric Siegel, Program Chair, Predictive Analytics World

Speaker: Anne Milley, Senior Director of Tech. Product Marketing, SAS

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