Computer Science 589 - Machine Learning
Spring
2025
01
3.00
Aline Weber
TU TH 10:00AM 11:15AM
UMass Amherst
44845
Thompson Hall room 102
alineweber@umass.edu
44846
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.
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