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 2017 Schedule

Section Instructor Location Schedule Notes
A1 Saenko CAS 211 TR 3:30 pm-4:45 pm Class Closed

FALL 2017 Schedule

Section Instructor Location Schedule Notes
A2 Saenko MCS B23 W 9:05 am-9:55 am Class Closed

FALL 2017 Schedule

Section Instructor Location Schedule Notes
A3 Saenko CAS 208 W 12:20 pm-1:10 pm Class Closed

FALL 2017 Schedule

Section Instructor Location Schedule Notes
A4 Saenko CAS 237 W 1:25 pm-2:15 pm Class Closed

SPRG 2018 Schedule

Section Instructor Location Schedule Notes
A1 Chin TR 11:00 am-12:15 pm

SPRG 2018 Schedule

Section Instructor Location Schedule Notes
A2 Chin F 9:05 am-9:55 am

SPRG 2018 Schedule

Section Instructor Location Schedule Notes
A3 Chin F 10:10 am-11:00 am

SPRG 2018 Schedule

Section Instructor Location Schedule Notes
A4 Chin F 11:15 am-12:05 pm

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.