Deep Learning World

June 19-23, 2022


Machine Learning 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.

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

All times are Pacific Daylight Time (PDT/UTC-7)

Sunday, June 19

Machine Learning with Python: A Hands-On Introduction


Full-day: 8:00am – 3:00pm PDT
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 20

Ensemble Models: Supercharging Machine Learning

Full-day: 8:00am – 3:00pm PDT

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 20

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

Full-day: 8:00am – 3:15pm PDT

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 20

Machine Learning Operationalized for Business: Ensuring ML Deployment Delivers Value


Full-day: 8:00am – 3:00pm PDT
Machine learning improves operations only when its predictive models are deployed, integrated and acted upon – that is, only when you operationalize it.

Monday, June 20

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 23

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

Full-day: 8:00am – 3:15pm PDT

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 23

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

Full-day: 8:00am – 3:00pm PDT

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

Thursday, June 23

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

Full-day: 8:00am – 3:00pm PDT

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: Drew Hodun

Friday, June 24

Machine Learning with R: A Hands-On Introduction

Full-day: 8:000am – 4:00pm PDT

Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.

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Machine Learning Week is a five-conference event including: PAW Business, PAW Financial, PAW Industry 4.0, PAW Healthcare, and Deep Learning World.

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