DATA 4465

(3 Credits) 3 Lecture hours, 1 Tutorial hour This course will teach how to implement and apply machine learning algorithms. The emphasis will be on practical skills, and the course will focus on giving students skills to make these algorithms work. Students will learn about commonly used learning techniques including supervised and unsupervised learning techniques. Performance evaluation and model selection techniques will be discussed in this course. Students will gain hands-on experience through course assignments and projects.