Introduction to Learning from Data

Enrollment Requirements: Undergraduate Prerequisite: ENGEK 381 and (ENGEK 125 or ENGEK 122 or CAS CS111); Graduate Prerequisite: Graduate Standing This is an introductory graduate course in (classical) machine learning covering the basic principles and methods of four major non-sequential supervised and unsupervised learning problems namely, classification, regression, clustering, and dimensionality reduction. A variety of contemporary applications will be explored through homeworks and a project.