May 14-18, 2017
San Francisco, CA
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Analytics Workshops
Predictive Analytics World, March 4-10, 2012 in San Francisco


Sunday, March 4

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 KuhnMax Kuhn
    Director, Nonclinical Statistics
    Pfizer

Wednesday, March 7

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 ElderJohn Elder, Ph.D.
    CEO and Founder
    Elder Research

Thursday, March 8

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.
  • Kim LarsenDean Abbott
    President
    Abbott Analytics
    Sponsored by:
    SAS

Thursday, March 8

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 FastAndrew Fast
    Director of Research
    Elder Research, Inc.

Fri/Sat, March 9-10

Net Lift Models: Optimizing the Impact of Your Marketing
2 Full days: 9:00am - 4:30pm

  • 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 LarsenKim Larsen
    Vice President
    Analytical Insights, MarketShare

On-Demand

Predictive Analytics Applied
An Online Introduction
Online 5 -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.
  • Kim LarsenEric Siegel Ph.D.
    Conference Chair
    Predictive Analytics World

For more on text analytics, see the co-located conference, Text Analytics World

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