Computer Science 689 - Machine Learning

Fall
2024
01
3.00
Benjamin Marlin

TU TH 10:00AM 11:15AM

UMass Amherst
28820
Goessmann Laboratory room 20
marlin@cs.umass.edu
Machine learning is the computational study of artificial systems that can adapt to novel situations, discover patterns from data, and improve performance with practice. This course will cover the mathematical foundations of supervised and unsupervised learning. The course will provide a state-of-the-art overview of the field, with an emphasis on implementing and deriving learning algorithms for a variety of models from first principles.

Open to graduate Computer Science students only. PERMISSION OF INSTRUCTOR FOR UNDERGRADUATES WHO HAVE COMPLETED COMPSCI 589, IF CLEARED BY THE UPD AND AVAILABLE SEATS. 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.

Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.
Permission is required for interchange registration during the add/drop period only.