CSCI 475 : Intro to Machine Learning
Techniques for learning from data and applying these algorithms to application settings. Topics covered include Bayesian methods, linear classifiers such as the perceptron, regression, and non-parametric methods such as k-nearest neighbors.
Prerequisites/Permissions
CSCI 354; MATH 189