COMP SCI 465R: Introduction to Machine Learning

Course Description

An introduction to the methods and applications of Machine Learning with a focus on the fundamental concepts, techniques, and algorithms. Students will build, evaluate, and interpret both supervised and unsupervised machine learning models, and learn key concepts in model selection, performance analysis, and feature selection. This course is intended to provide a theoretical and practical grounding for applied computational intelligence and preface advanced studies in Deep Learning, Natural Language Processing, and other emerging computational intelligence related studies.