American Statistical Association
New York City
Metropolitan Area Chapter
November 14, 2013
The New York Metro Area Chapter of the American Statistical Association
In Collaboration With
The Educational Psychology Ph.D. Program of the City University of New York
Are Pleased to Invite You to a Colloquium
AN INTRODUCTION AND A DISQUISITION IN THREE PARTS
Max Kuhn, Ph.D.
The primary goal of predictive modeling (aka machine learning) (aka pattern recognition) is to produce the most accurate prediction for some quantity of interest. In this talk, I will give a brief introduction as well as a discussion on three topics: the friction between interpretability and accuracy, the role of Big Data and the current unmet needs.
About the Speaker
Max is a Director in Nonclinical Statistics at Pfizer in Connecticut. He has worked in the pharmaceutical and molecular diagnostics industries for 15 years. Max currently works in early drug discovery and specializes in computational chemistry and computational biology. His book (with Kjell Johnson), Applied Predictive Modeling, was released this year by Springer.
Thursday, November 14, 2013
4:15 to 6:15 P.M.
CUNY Graduate Center
365 Fifth Avenue (at 34th Street)
Room - To Be Announced
New York, New York
Registration and Fees
Advanced registration is required and there is no fee.
Seating is limited.
For questions, send an e-mail to firstname.lastname@example.org.
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