CS 271 - Topics in Machine Learning

3 unit(s)
Variable topics in machine learning. Content may include hidden Markov models, principal component analysis, support vector machines, clustering, boosting, random forests, neural networks, and deep learning. Relevant applications will be covered.

Prerequisite(s): Graduate standing. Allowed Declared Major: Computer Science, Bioinformatics, Data Science. Or instructor consent.
Grading: Letter Graded

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