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Livestream Seminar

Machine Learning

A 4-Day Livestream Seminar Taught by

Seth Flaxman
Course Dates:

Tuesday, August 2, 2022 –
Friday, August 5, 2022

Schedule:
10:30am-12:30pm ET (New York time): Live session via Zoom
1:30pm-3:00pm ET: Live session via Zoom

Machine learning has emerged as a major field at the intersection of statistics and computer science where the goal is to create reliable and flexible predictive models. This seminar offers a thorough introduction to supervised machine learning methods. Topics covered include: supervised learning; loss functions and optimization; cross-validation; the bias/variance tradeoff; high-dimensional variable selection and regularization methods; non-linear methods such as random forests and support vector machines; an introduction to deep learning; and an overview of the R programming language.

Starting August 2, 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. Participants are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if they are unable to attend at the scheduled time.

*We understand that scheduling is difficult during this unpredictable time. 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.

More details about the course content

Computing

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Seminar outline

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