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CS 271

Topics in Machine Learning

Description
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.

Grading
Normal Grade Rules

Units
3