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Apr 19, 2024
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CSE 176: Introduction to Machine Learning
[4 units]
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.
Prerequisite: MATH 032 and MATH 141 and CSE 031 . Normal Letter Grade only. Laboratory included.
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