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4820. Introduction to Machine Learning

3.00 credits

Prerequisites: MATH 2210Q; STAT 3025Q or 3345Q or 3375Q or MATH 3160; open only to Computer Science and Engineering majors; juniors or higher. Recommended preparation: CSE 3500.

Grading Basis: Graded

An introduction to the basic tools and techniques of machine learning, including models for both supervised and unsupervised learning, related optimization techniques, and methods for model validation. Topics include linear and logistic regression, SVM classification and regression, kernels, regularization, clustering, and on-line algorithms for regret minimization.


Last Refreshed: 25-NOV-22 05.20.18.718397 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Fall 2022 Storrs In Person He, Suining 001 Reg TuTh 11:00am‑12:15pm
MCHU 306 41/50
Spring 2023 Storrs In Person Yang, Qian 001 Reg TuTh 11:00am‑12:15pm
MCHU 306 37/40