Workshops

Predictive Analytics World

May 31 – June 4, 2020 – Caesars Palace, Las Vegas


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

Sunday, May 31

Big Data: The Leading Ways Data Science Changes Business Today


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, May 31

R Bootcamp:
For Newcomers to R

Two and a half hour workshop:
2:00-4:30pm

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

Brennan Lodge
Brennan Lodge

Data Scientist VP

Monday, June 1

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 1

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.

Brennan Lodge
Brennan Lodge

Data Scientist VP

Monday, June 1

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 1

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 4

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 4

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

PhD Candidate

UC Santa Cruz Genomics Institute and former Senior Solutions Architect, MapR

Thursday, June 4

Hands-On Deep Learning in the Cloud: Fast and Lean Data Science with Tensorflow, Keras, and TPUs


Full-day: 8:30am – 4:30pm
During this workshop, you will gain hands-on experience deploying deep learning on Google’s TPUs (Tensor Processing Units) at this one-day workshop, scheduled the day immediately after the Deep Learning World and Predictive Analytics World two-day conferences.

Martin Gorner
Martin Gorner

Developer Relations

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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