Online Course Catalog

ECE 449 OG - Machine Learning

Fall 2022

Machine LearningOG77677ONL31230 - 1345 W F    Shenlong Wang
Liangyan Gui

Course Description

This course covers 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

4 hours


Subject Area

  • Electrical and Computer Engineering