Analytics Workshops
Predictive Analytics World, June 19-22, 2017 in Chicago
Monday, June 19
Supercharging Prediction 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 Abbott
President
Abbott Analytics
Monday, June 19
Spark on Hadoop for Machine
Learning: 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, DBA's, and Hadoop specialists.
James Casaletto
Principal Solutions Architect
MapR Technologies
Wednesday, June 21
R Bootcamp:
For Newcomers to R
Three hours: 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 KuhnSoftware Engineer
RStudio
Thursday, June 22
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 KuhnSoftware EngineerRStudio
Thursday, June 22
Advanced Methods:
Data Preparation and 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 Abbott
President
Abbott Analytics
Thursday, June 22
Modeling Methods: The Best and
the Worst of Predictive Analytics
Full-day: 8:00am - 3:45pm
- The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits.
Dr. John Elder
CEO and Founder
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.
Eric Siegel Ph.D.
Conference Chair
Predictive Analytics World
Blue circle workshops are for All Levels
Red triangle workshops are Expert/Practitioner Level
