CSE 251U. Unsupervised Learning (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/CSE.html#cse251u
Description
This course presents a broad view of unsupervised learning. Topics will include descriptive statistics; clustering; projection, singular value decomposition, and spectral embedding; geometry of high-dimensional spaces; common probability distributions; density estimation; graphical models and latent variable modeling; sparse coding and dictionary learning; autoencoders, shallow and deep; and self-supervised learning. Prerequisites: none.
Prerequisite courses
CSE 251U has no prerequisite courses.
Successor courses
No courses have CSE 251U as a prerequisite.