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 code DS77. All other students with graduate standing may be considered as space permits.
Prerequisite courses
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Successor courses
No courses have DSC 257R as a prerequisite.