Analytics Workshops
Predictive Analytics World, Sept 29 – Oct 3, 2013
in Boston
Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level
Sunday, September 29
R for Predictive Modeling:
A Hands-On Introduction
Full-day: 9:00am – 4:30pm
- This one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis.
Max KuhnDirector, Nonclinical Statistics
Pfizer
Wednesday, October 2
Modeling Methods: The Best and
the Worst of Predictive Analytics
Full-day: 9:00am - 4:30pm
- The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits.
John Elder, Ph.D.
CEO and Founder
Elder Research
Wednesday, October 2
Supercharging Prediction:
Hands-On with Ensemble Models
Full-day: 9:00am - 4:30pm
- This workshop dives into the key ensemble approaches including Bagging, Random Forests, and Stochastic Gradient Boosting.
Dean Abbott
President
Abbott Analytics
Sponsored by:
Wednesday, October 2
Making Text Mining Work: Practical Methods and Solutions
Full-day: 9:00am – 4:30pm
- The text mining solutions available now, the problems for which they are best suited and best practices in text mining.
Andrew Fast
Chief Scientist
Elder Research Inc.
Thursday, October 3
Advanced Methods Hands-On:
Predictive Modeling Techniques
Full-day: 8:45am – 4:30pm
- Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software.
Dean Abbott
President
Abbott Analytics
Sponsored by:
On-Demand
Predictive Analytics Applied –
An Online Introduction
Online 5 ½-hour training program – on demand
- 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.
Eric Siegel Ph.D.
Conference Chair
Predictive Analytics World
