Principles of Machine Learning

CAS CS 542

Introduction to modern machine learning concepts, techniques, and algorithms. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks. Programming assignments emphasize taking theory into practice, through applications on real-world data sets.

FALL 2022 Schedule

Section Instructor Location Schedule Notes
A1 Saenko COM 101 TR 11:00 am-12:15 pm Class Closed

FALL 2022 Schedule

Section Instructor Location Schedule Notes
A2 Saenko EPC 203 W 8:00 am-8:50 am Class Closed

FALL 2022 Schedule

Section Instructor Location Schedule Notes
A3 Saenko EPC 203 W 9:05 am-9:55 am Class Closed

FALL 2022 Schedule

Section Instructor Location Schedule Notes
A4 Saenko EPC 203 W 10:10 am-11:00 am Class Closed

FALL 2022 Schedule

Section Instructor Location Schedule Notes
A5 Saenko EPC 203 W 11:15 am-12:05 pm Class Closed

SPRG 2023 Schedule

Section Instructor Location Schedule Notes
A1 Drori KCB 101 MW 12:20 pm-1:35 pm Class Closed

SPRG 2023 Schedule

Section Instructor Location Schedule Notes
A2 Drori EMA 304 F 8:00 am-8:50 am Class Closed

SPRG 2023 Schedule

Section Instructor Location Schedule Notes
A3 Drori EMA 304 F 9:05 am-9:55 am Class Closed

SPRG 2023 Schedule

Section Instructor Location Schedule Notes
A4 Drori EMA 304 F 10:10 am-11:00 am Class Closed

SPRG 2023 Schedule

Section Instructor Location Schedule Notes
A5 Drori EMA 304 F 11:15 am-12:05 pm Class Closed

SPRG 2023 Schedule

Section Instructor Location Schedule Notes
A6 Drori EMA 304 F 12:20 pm-1:10 pm Class Closed

SPRG 2023 Schedule

Section Instructor Location Schedule Notes
A7 Staff EMA 304 F 1:25 pm-2:15 pm Class Closed

Note: this course was also offered during Summer Term

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.