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Jan 19, 2025
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CSE 176: Introduction to Machine Learning
Units: 4
Survey of techniques for development and analysis of software that learns from experience. Specific topics: supervised learning (classification, regression); unsupervised learning (density estimation, clustering, dimensionality reduction); reinforcement learning; and others. Specific techniques: linear classifiers, mixture models, nonparametric methods, decision trees, neural networks, kernel machines, ensembles, graphical models, Bayesian methods, etc.
Course Details
Anticipated term(s) course will be offered:
Repeatable for Credit: No
Laboratory included
Normal Letter Grade only
GE Requirements - Upper Division: Crossroads
Requisites and Restrictions
Prerequisite: CSE 031 and CSE 100 and MATH 141
Open only to the following class level(s):
Instructor Permission Required: No
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