Practical Machine Learning

Thursday, January 27, 2022 at 12:00pm to 2:00pm


If you are interested in attending, please join the mailing list here: We will be using this to send out links to class materials as well as info about a class-wide discord server.

This is a fast-paced course that teaches machine learning techniques through practical code examples and exercises. This class is intended for students with some experience/background in programming who want to learn how to quickly apply machine learning methods to solve problems, without necessarily needing to understand the math behind them. It is not meant as a replacement for an actual machine learning class.

Topics include regression, nearest neighbors, decision trees, random forests, recurrent neural networks, convolutional neural networks, and (possibly) generative adversarial networks.

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