May 14-18, 2017
San Francisco, CA
Delivering on the promise of data science

Analytics Workshops
Predictive Analytics World, May 14-18, 2017 in San Francisco



All level tracks Workshops for All Levels
Workshops at the Expert/Practitioner Level

Sunday, May 14

Uplift Models: Optimizing the Impact of Your Marketing
Full-day: 9:00am - 4:30pm

  • This workshop demonstrates how to build Net Lift Models that optimize the incremental impact of marketing campaigns, covering the pros and cons of various core analytical approaches.
  • Kim LarsenKim Larsen
    Director of Client Algorithms
    Stitch Fix

Sunday, May 14

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.

  • Marc SmithMarc Smith
    Chief Social Scientist
    Connected Action Consulting Group

Monday, May 15

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

Monday, May 15

Supercharging Prediction:
Hands-On with Ensemble Models
Full-day: 8:30am - 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.

Monday, May 15

R Bootcamp:
For Newcomers to R
Two and a half hour morning workshop: 9:00-11:30am

  • This 2.5 hour workshop launches your tenure as a user of R, the well-known open-source platform for data analysis.
  • Max KuhnMax Kuhn
    Software Engineer,
    RStudio

Monday, May 15

R for Predictive Modeling:
A Hands-On Introduction
Full-day: 12:00 - 7:30pm

  • Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
  • Max KuhnMax Kuhn
    Software Engineer
    RStudio

Thursday, May 18

Advanced Methods Hands-on: Predictive Modeling Techniques
Full-day: 9:00am - 4:30pm

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

Thursday, May 18

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.

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 SiegelEric Siegel Ph.D.
    Conference Chair
    Predictive Analytics World

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