MAT 420 — Intro to Machine Learning
This course is an introduction to machine learning principles and techniques. The mathematics and applications of the following topics will be covered: generalization, point estimation, neural networks with an emphasis on the perceptron and generalizations, non-linear separation, dimension reduction and various supervised algorithms such as K-nearest neighbor. Time permitting, topic models and support vector machines will be discussed.