CS 462 Introduction to Machine Learning

This is an introductory course to Machine Learning with an emphasis on applying ML techniques. The course will cover the following topics: Linear Regression, Regularization, Logistic Regression, Support Vector Machine, Decision Trees, K-means, Nearest Neighbor, Dimensionality Reduction, Ensemble Learning, … etc.