|
Mar 28, 2024
|
|
|
|
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
View course scheduling information
Add to My Catalog (opens a new window)
|
|