Computer Science 589 - Machine Learning
Spring
2022
01
3.00
Bruno Castro da Silva
TU TH 10:00AM 11:15AM
UMass Amherst
27861
Morrill Sci. Ctr. (II) rm 131
bsilva@cs.umass.edu
27862
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 515, & CS 240; OR a C or better in MATH 545 and B+ or better in CS 240; OR a C or better in STAT 515 & CS 240 and B+ or better in MATH 233 & 235; OR B+ or better in CS 240, MATH 233 and 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.