Computer Science 589 - Machine Learning

Introduction to methods permitting machines to learn: decision tree induction, cover generation, candidate elimination, artificial neural networks, inductive logic programming. Bayesian, instance-based, reinforcement, apprentice, macro, and explanation-based learning. Use of computer required. Prerequisite: CMPSCI 383.

MS-CMPSCI students only UG CMPSCI 383 & MATH 235 w/ C LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS. STUDENTS WHO HAVE TAKEN 689 ARE NOT ELIGIBLE TO TAKE THIS COURSE. STUDENTS MAY REQUEST TO TAKE MATH 235 LINEAR ALGEBRA AS A CO-REQUISITE WITH INSTRUCTOR PERMISSION. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cs.umass.edu/overrides.