TCSS 455
Introduction to Machine Learning
University of Washington-Tacoma Campus · UGRD · Fall 2026
1 section
Catalog description
Introduces methods for supervised and unsupervised machine learning, such as decision trees, random forests, boosted decision trees, logistic regression, neural networks, deep learning, clustering, and association rule mining. Course overlaps with: TSTAT 336 and CSE 416/STAT 416. Prerequisite: a minimum grade of 2.0 in TCSS 343.
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Availability not recently verifiedClass #washington_tacoma_campus-0411Fall 2026UGRD5 credits
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