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 the effective use in solving real-world applications. Requires a strong mathematical background and knowledge of one high-level programming language such as Python.

Open to MS-COMPSCI students and grad students in Statistics and Math. LECT 01 FOR UNDERGRADS in person on Amherst campus; LECT 02 FOR GRADS in person on Amherst campus; LECT 03 GRADS in person on Mt.Ida campus. SEATS HELD FOR INCOMING GRAD STUDENT REGISTRATION. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.

The class meets in person at the Mt. Ida campus.