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.

SPRG 2015 Schedule

Section Instructor Location Schedule Notes
A1 Sclaroff CAS 326 TR 2:00 pm-3:30 pm Class Closed

SPRG 2015 Schedule

Section Instructor Location Schedule Notes
A2 Sclaroff MCS B23 M 10:00 am-11:00 am Class Closed

SPRG 2015 Schedule

Section Instructor Location Schedule Notes
A3 Sclaroff MCS B23 M 11:00 am-12:00 pm Class Closed

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