WesMaps - Wesleyan University Catalog 2021-2022       Summer Session       Winter Session       Home       Archive       Search
CS92PROD
Machine Learning
COMP 343
Spring 2022
Section: 01  

This course will provide an introduction to machine learning. The field of machine learning studies how to design systems that learn from experience. We will cover fundamental concepts and algorithms used in machine learning, as well as give an introduction to basic probability and statistics. Sample topics include regression, classification, Bayesian networks, Gibbs sampling, particle filtering, maximum likelihood estimation, neural networks, deep learning, clustering, bias/variance trade-offs, cross-validation, and practical advice. Programming assignments will be done using Python; prior knowledge of Python is not required.
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: COMP212 AND MATH228
Fulfills a Requirement for: (COMP)(IDEA-COMP)
Past Enrollment Probability: 50% - 74%

Last Updated on OCT-14-2024
Contact wesmaps@wesleyan.edu to submit comments or suggestions. Please include a url, course title, faculty name or other page reference in your email ? Wesleyan University, Middletown, Connecticut, 06459