Analytics Workshops
Predictive Analytics World, April 14-19, 2013 in San Francisco
Sunday, April 14
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 Kuhn
Director,
Nonclinical Statistics
Pfizer
Tuesday, April 16
Making Text Mining Work: Practical Methods and Solutions
Full-day session: 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.
Tuesday, April 16
Mapping Groups of People and
What They are Talking About in
Social Media
Three hours: 6:30pm - 9:30pm
- 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.
Marc A. Smith
Chief Social Scientist
Connected Action Consulting Group
Wednesday, April 17
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, Inc.
Sponsored by:
Wednesday, April 17
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.
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Dr. John ElderCEO and Founder
Elder Research, Inc.
Thursday, April 18
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:
Fri/Sat, April 19-20
Net Lift Models: Optimizing the Impact of Your Marketing
Full Day (Friday): 9:00am-4:30pm and
Half Day (Saturday): 9:00am-12:00pm
- The true effectiveness of a marketing campaign isn't response rate, it is the incremental impact - that is, the difference it makes. This is an entirely different thing to model.
Kim Larsen
Vice President
Analytical Insights, MarketShare
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