For those unable to access twitch, or attend the lecture time, all recordings will be posted below and to the UCSD Podcast page
CSE 158 and 258 are undergraduate and graduate courses devoted to current methods for recommender systems, data mining, and predictive analytics. No previous background in machine learning is required, but all participants should be comfortable with programming (all example code will be in Python), and with basic optimization and linear algebra.
The course meets twice a week on Monday/Wednesday evenings, starting September 27. The class meets in GA AUD (Torrey Pines), though meetings will also be livestreamed on twitch. Recordings will also be made available on this page after the class.