Computer Science 589 - Machine Learning

Spring
2024
01
3.00
Bruno Castro da Silva

TU TH 10:00AM 11:15AM

UMass Amherst
11878
Thompson Hall room 102
bsilva@cs.umass.edu
11879
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 LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS. SEATS HELD IN LECT 02 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.