Online Course Catalog
CS 446 - Machine Learning
Spring 2027
| Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|
| Machine Learning | DS3 | 78279 | ONL | 3 | - | Liangyan Gui | ||
| Machine Learning | DS4 | 62698 | ONL | 4 | - | Liangyan Gui |
Course Description
This course studies principles and applications of machine learning. Main paradigms and techniques, including discriminative and generative methods, reinforcement learning: linear regression, logistic regression, support vector machines, deep nets, structured methods, dimensionality reduction, k-means, Gaussian mixtures, expectation maximization, Markov decision processes, and Q-learning. Application areas such as natural language and text understanding, speech recognition, computer vision, data mining, and adaptive computer systems, among others.
Credit Hours
3 or 4 hours
Prerequisites
Subject Area
- Computer Science