Workshops

Predictive Analytics World

June 16-20, 2019 – Caesars Palace, Las Vegas


Blue circle workshops are for All Levels
Red triangle workshops are Expert/Practitioner Level

Sunday, June 16

Big Data: Proven Methods You Need to Extract Big Value


Full-day: 8:30am – 4:30pm
This one day workshop reviews major big data success stories that have transformed businesses and created new markets.

Marc Smith
Marc Smith

Chief Social Scientist

Connected Action Consulting Group

Sunday, June 16

R Bootcamp:
For Newcomers to R

Two and a half hour evening workshop:
6:30-9:00pm

This 2.5 hour workshop launches your tenure as a user of R, the well-known open-source platform for data analysis.

Monday, June 17

The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques


Full-day: 8:30am – 4:30pm
This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).

John Elder Ph.D.
John Elder Ph.D.

Founder & Chair

Monday, June 17

R for Machine Learning: A Hands-On Introduction


Full-day: 8:30am – 4:30pm
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.

Monday, June 17

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
Dean Abbott

Co-Founder and Chief Data Scientist

Monday, June 17

Deep Learning in Practice: A Hands-On Introduction


Full-day: 8:30am – 4:30pm
This one-day introductory workshop dives deep. You will explore deep neural classification, LSTM time series analysis, convolutional image classification, advanced data clustering, bandit algorithms, and reinforcement learning.

James McCaffrey
James McCaffrey

Senior Scientist Engineer

Thursday, June 20

The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them


Full-day: 8:30am – 4:30pm

This one-day session reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models.

John Elder Ph.D.
John Elder Ph.D.

Founder & Chair

Thursday, June 20

Spark on Hadoop for Machine Learning: Hands-On Lab


Full-day: 8:30am – 4:30pm
Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists.

James Casaletto
James Casaletto

Senior Solutions Architect

MapR Technologies

Online Workshop

Predictive Analytics Applied – An Online Introduction


Full-day: 8:30am – 4:30pm

New to predictive analytics? Take this online course instructed by the founder of PAW to ramp up before the conference. On-demand access at any time.

Eric Siegel
Eric Siegel

Conference Founder

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