Given known group membership, methods which learn from data how to classify objects into the groups are treated. Review of likelihood and posterior based discrimination. Main topics include logistic regression, neural networks, tree-based methods and nearest neighbour methods. Model assessment, training and tuning. [Offered: F] Prereq: CM 361/STAT 341 or (STAT 330 and 340); Not open to General Mathematics students
