University of Portland Bulletin 2020-2021

CS 429 Introduction to Machine Learning

In-depth survey of basic and advanced concepts of machine learning. Topics include: linear discrimination, supervised, unsupervised, semi-supervised learning, multilayer perception, convolution neural networks, maximum-margin methods, Monte-Carlo, and reinforcement learning. Knowledge of linear algebra and vector calculus also recommended. 

Cross Listed Courses

CS 529


CS 305 with a grade of C- or better
  • Up one level
  • 400