This course provides an introduction to the fundamental concepts of machine learning. Statistical learning framework is utilized for clustering, classification, and prediction tasks. Concepts are reinforced through theoretical and programming assignments, with applications in computer vision, natural language processing and bioinformatics. May not be taken for credit in addition to ESE 388.