June 20-23, 2016
Chicago, IL
Delivering on the promise of data science
Click here for upcoming PAW events

Analytics Workshops
Predictive Analytics World, June 20-23, 2016 in Chicago


Sunday, June 19

R Bootcamp:
For Newcomers to R
Three hour: 5:30-8:30pm

  • This half-day workshop launches your tenure as a user of R, the well-known open-source platform for data analysis.
  • Max KuhnMax Kuhn
    Director, Nonclinical Statistics
    Pfizer

Monday, June 20

R for Predictive Modeling:
A Hands-On Introduction
Full-day: 9:00am - 4:30pm

  • Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
  • Max KuhnMax Kuhn
    Director, Nonclinical Statistics
    Pfizer

Monday, June 20

Advanced Methods Hands-on: Predictive Modeling Techniques
Full-day: 8:30am - 4:30pm

  • Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software.
  • Dean AbbottDean Abbott
    President
    Abbott Analytics, Inc.
    Sponsored by:
    Dell

Monday, June 20

Hadoop for Predictive Analytics:
Hands-On Lab
Full-day: 9:00am - 4:30pm

  • Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists.
  • James CasalettoJames Casaletto
    Senior Solutions Architect
    MapR Technologies

Thursday, June 23

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 ElderDr. John Elder
    CEO and Founder
    Elder Research, Inc.

Thursday, June 23

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, Inc.
    Sponsored by:
    Salford Systems

Thursday, June 23

Making Text Mining Work:
Practical Methods and Solutions
Full-day: 9:00am - 4:30pm

  • This one-day session surveys standard and advanced methods for text mining. Dr. Fast will describe the key inner workings of leading algorithms, demonstrate their performance with business case studies.
  • Andrew FastDr. Andrew Fast
    Chief Scientist
    Elder Research Inc.

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.
  • Kim LarsenEric Siegel Ph.D.
    Conference Chair
    Predictive Analytics World

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