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Analytics Workshops
Predictive Analytics World, October 5-9, 2014 in Boston
All level tracks Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level

Sunday, October 5

R for Predictive Modeling Hands-On: Business
and Healthcare
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

Sunday, October 5

Big Data: Proven Methods You Need to Extract Big Value
Full-day: 9:00am 4:30pm

  • This one day workshop reviews major big data success stories that have transformed businesses and created new markets.
  • Andrew FastVladimir Barash
    Senior Researcher
    Graphika

Wednesday, October 8

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

Wednesday, October 8

Supercharging Prediction 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 AbbottDean Abbott
    President
    Abbott Analytics

Thursday, October 9

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 AbbottDean Abbott
    President
    Abbott Analytics
    Sponsored by:
    Dell

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.
  • Eric Siegel Ph.D.Eric Siegel Ph.D.
    Conference Chair
    Predictive Analytics World

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