Deep Learning World

June 18-22, 2023

Monday, June 19

Deep Learning in Practice: A Hands-On Introduction


Full-day: 8:30am – 4:30pm PDT
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

Leo Betthauser
Leo Betthauser

Senior Data Scientist


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 18

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

Full-day: 8:30am – 4:30pm 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

Vladimir Barash
Vladimir Barash

Chief Scientist

Sunday, June 18

 

Machine Learning with R: A Hands-On Introduction

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

Jared Lander
Jared Lander

Chief Data Scientist

 

Monday, June 19

Ensemble Models: Supercharging Machine Learning

Full-day: 8:30am – 4:30pm PDT

This workshop dives into the key ensemble approaches, including Bagging, Random Forests, and Stochastic Gradient Boosting.

Dean Abbott
Dean Abbott

Chief Data Scientist

Monday, June 19

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

Full-day: 8:30am – 4:30pm 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 19

Machine Learning Operationalized for Business: Ensuring ML Deployment Delivers Value


Full-day: 8:30am – 4:30pm 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 19

Deep Learning in Practice: A Hands-On Introduction


Full-day: 8:30am – 4:30pm PDT
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

Leo Betthauser
Leo Betthauser

Senior Data Scientist

Thursday, June 22

Machine Learning with Python: A Hands-On Introduction


Full-day: 8:30am – 4:30pm 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

Thursday, June 22

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

Full-day: 8:30am – 4:30pm 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

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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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