DSC 257R. Unsupervised Learning (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/DSC.html#dsc257r
Description
Broad view of the field of unsupervised learning, in particular its most common methods and use cases. Topics include descriptive statistics; clustering; projection, singular value decomposition, and spectral embedding; 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: DSC 255R. Restricted to major codes DS78 and DS79. All other students with graduate standing may be considered as space permits.
Prerequisite courses
Loading...
Successor courses
No courses have DSC 257R as a prerequisite.