Deep Learning World Las Vegas

May 31-June 4, 2020

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

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

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.
Instructor: TBA


Other Analytics Workshops

The following analytics workshops do not pertain to deep learning, but cover other analytics topics and are available in the days before and after Deep Learning World as part of the co-located Predictive Analytics World events taking place at that time.

Sunday, May 31

Big Data: The Leading Ways to Improve Business with Data Science (Non-Technical)

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

Machine Learning with R: 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.

Robert Muenchen
Robert Muenchen

Manager of Research Computing Support

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

Machine Learning with Python: A Hands-On Introduction


Full-day: 8:30am – 4:30pm
Python leads as a top machine learning solution – thanks largely to its extensive battery of powerful open source machine learning libraries. It’s also one of the most important, powerful programming languages in general.

Clinton Brownley
Clinton Brownley

Data Scientist

Monday, June 1

Machine Learning Operationalized for Business: Ensuring ML Deployment Delivers Value


Full-day: 8:30am – 4:30pm
Machine learning improves operations only when its predictive models are deployed, integrated and acted upon – that is, only when you operationalize it.

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

Ensemble Models: Supercharging Machine Learning

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

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

Online Workshop

Predictive Analytics Applied – An Online Introduction

Online, On-demand

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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