CS 273A: Machine Learning
Computational approaches to learning algorithms for classifications, regression, and clustering. Emphasis is on discriminative classification methods such as decision trees, rules, nearest neighbor, linear models, and naive Bayes. Prerequisites: CS 206 and 271.
Level: Graduate Units: 4 Category: Core for: Graduate COMPSCI Prerequisites: No Prerequisites Catalogue: Editor's Office