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Advanced Machine Learning

A 3-Day Livestream Seminar Taught by

Seth Flaxman
Course Dates:

Thursday, October 13 –
Saturday, October 15, 2022

Schedule:

10:00am-12:30pm ET (convert to your local time)
1:30pm-4:00pm ET Thursday, 1:30pm-3:30pm ET Friday & Saturday

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 assumes a basic familiarity with machine learning and covers statistical machine learning, Bayesian machine learning, kernel methods and Gaussian processes, Bayesian probabilistic programming with MCMC and variational inference, Bayesian Additive Regression Trees, deep generative modeling with variational autoencoders, convolution neural networks, and recurrent neural networks.

Starting October 13, 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.

More details about the course content

Computing

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Seminar outline

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