Jan 25, 2021  
2018-2019 Catalog 
2018-2019 Catalog [ARCHIVED CATALOG]

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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
Repeatable for Credit: No
Laboratory included
Normal Letter Grade only

Requisites and Restrictions
Prerequisite: MATH 032 and MATH 141 and CSE 031
Instructor Permission Required: No

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