Computer Science 589 - Machine Learning

Introduction to core machine learning models and algorithms for classification, regression, dimensionality reduction and clustering. The course will cover the mathematical foundations behind the most common machine learning algorithms, and their effective use in solving real-world applications. Requires a strong background in mathematics and programming.

Sr/Jr CS majors with a grade of C or better in MATH 545, STAT 315/515 & CS 240; OR a C or better in MATH 545 & B+ or better in CS 240; OR a C or better in STAT 315/515 & CS 240 and B+ or better in MATH 233 & 235; OR B+ or better in CS 240, MATH 233 & 235 LEC 01 FOR UNDERGRADS; LEC 02 FOR GRADS. SEATS HELD IN LEC 02 FOR INCOMING GRAD STUDENT REGISTRATION. U+ LEC 01 FOR ONLINE MS-CMPSCI ONLY. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/academics/course-overrides