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Advanced Machine Learning - Online Course

A 4-Day Livestream Seminar Taught by

Bruce Desmarais
Course Dates:

Tuesday, July 29 –
Friday, August 1, 2025

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm (convert to your local time)
1:30pm-3:00pm

The role of advanced machine learning techniques in both academic and industry settings is rapidly expanding, driven by increasingly complex analytical demands and applied workflows that go beyond traditional predictive modeling. Foundational methods, such as basic regression analysis, classic learners, and standard approaches to variable selection, remain essential tools but often fall short in addressing the challenges that arise in real-world data analysis. Practitioners frequently encounter complexities like missing data, questions regarding causal interpretation, and distinguishing between the capabilities of emerging generative AI technologies and traditional machine learning methods. Additionally, practical limitations, such as constrained computational resources or data availability, further complicate straightforward applications of standard machine learning workflows.

In response to these challenges, this advanced seminar introduces a set of sophisticated strategies designed to navigate these complexities effectively. We focus on four key areas that extend beyond conventional machine learning frameworks, equipping you with advanced methodological tools tailored to complex scenarios. These areas address how to systematically manage missing data to preserve analytical integrity, apply rigorous frameworks for causal inference to ensure accurate interpretation, understand and strategically leverage generative AI in contrast to conventional ML approaches, and optimize model performance within real-world constraints where labeling resources are limited. This comprehensive exploration aims to enhance your ability to implement state-of-the-art solutions across diverse applied machine learning contexts.

Starting July 29, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions. Captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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Computing

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