Welcome to CIS520: Machine Learning
Lectures: Heilmeier Auditorium (Towne 100), MW 10:30–12:00, F 9:30am-11:00am . Recordings are here, but note that lectures that use the board are very hard to follow from the recordings.
Prerequisites: Basic knowledge of linear algebra (matrices, eigenvectors), statistics, and programming (See Course Description)
Notes: Lecture notes are under Lectures
Discussion: For questions on course material and assignments use Piazza