COSC 434 Introduction to Machine Learning

This course covers various contemporary techniques in machine learning. Overall topics include classes of machine learning (supervised, unsupervised), linear and logistic regression, non-parametric methods, Naïve Bayes, neural networks, support vector machine, k-means, hierarchical clustering, etc. The course uses Python machine learning libraries extensively.