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Machine Learning - Online Course

A 3-Day Livestream Seminar Taught by

Bruce Desmarais
Course Dates:

Thursday, December 14 –
Saturday, December 16, 2023

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

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

Read about Professor Desmarais’s first foray into machine learning methods as a graduate student in his blog post, Milk, Eggs, and Courts: My First Machine Learning Project.

In The Machine Learning Foundations of Artificial Intelligence, Desmarais discusses the multifaceted and rapidly evolving intersection of machine learning and artificial intelligence.

The rapidly growing relevance of Machine Learning cuts across scientific disciplines in the humanities, social sciences, and natural sciences. It is increasingly used in research for predictive, explanatory, and exploratory purposes. In 2022 alone, Google Scholar found approximately 278,000 scientific publications that included the phrase “machine learning.”

This course provides a comprehensive introduction to machine learning. Topics include: cross-validation, model evaluation, variable selection, classification, prediction, and regression.

Starting December 14, we are offering this seminar as a 3-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. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

More details about the course content

Computing

Who should register?

Seminar outline

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