Hands-on and Concepts Workshops for All Levels
PAW Boston – September 30 – October 5, 2012

All level tracks Track 1 sessions are for all levels.
Track 2 sessions are expert/practitioner level.

Tuesday, October 2Tuesday, October 2
 R Bootcamp: For Newcomers to R
Three hours: 6:30-9:30pm
 Mapping Groups of People and What They are Talking About in Social Media
Three hours: 6:30-9:30pm
Designed for newcomers to the language of R, "R Bootcamp" covers the R ecosystem and core elements of the language, so you attain the foundations for becoming an R user.This evening session provides a quick end-to-end guide to creating a social media network map with content analysis using free and open tools.
Max KuhnMax Kuhn
Director, Nonclinical Statistics
Pfizer
Gert H. N. LaursenMarc A. Smith, Ph.D.
Chief Social Scientist
Connected Action Consulting Group
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Wednesday, October 3Wednesday, October 3
 R for Predictive Modeling:
A Hands-On Introduction

Full-day: 9:00am – 4:30pm
 Model Ensembles:
Advanced Hands-On Workshop

Full-day: 9:00am – 4:30pm
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.This workshop dives into the key ensemble modeling methods including Bagging, Random Forests, and Stochastic Gradient Boosting.
Max KuhnMax Kuhn
Director, Nonclinical Statistics
Pfizer
Dean AbbottDean Abbott
President
Abbott Analytics
Sponsored by:
Salford Systems
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Wednesday, October 3Thursday, October 4
 The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Full-day: 9:00am – 4:30pm
 Advanced Methods Hands-on:
Predictive Modeling Techniques

Full-day: 9:00am – 4:30pm
The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of meritsDive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software.
John ElderJohn Elder, Ph.D.
CEO and Founder
Elder Research
Dean AbbottDean Abbott
President
Abbott Analytics
Sponsored by:
Statsoft
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Friday, October 5On-Demand
 Making Text Mining Work:
Practical Methods and Solutions

Full-day: 9:00am – 4:30pm
 Predictive Analytics Applied –
An Online Introduction

Online 5 ½-hour training program – on demand
The text mining solutions available now, the problems for which they are best suited and best practices in text mining.New to predictive analytics? Take this online course instructed by the chair of PAW to ramp up before the conference. On-demand access at any time.
Andrew FastAndrew Fast
Director of Research
Elder Research, Inc
Eric SiegelEric Siegel Ph.D.
Conference Chair
Predictive Analytics World
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