Computer Science 589 - Machine Learning

Fall
2022
02
3.00
Justin Domke

TU TH 4:00PM 5:15PM

UMass Amherst
44937
Thompson Hall room 102
domke@cs.umass.edu
44936
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.

MS-CMPSCI students only LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS. UNIV sections -01 and -02 meet in person on the Amherst campus with the instructor teaching remotely from the Mt. Ida campus. TA's will be available in the Amherst classroom. 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.

Permission is required for interchange registration during the add/drop period only.