Principles of Machine Learning

CAS CS 542

Undergraduate Prerequisites: (CASCS365) - 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 2024 Schedule

Section Instructor Location Schedule Notes
A1 Saenko CAS B12 MW 4:30 pm-5:45 pm Students registering for CAS CS542 must register for two sections: a Lec section, and a Lab lection. CAS CS542 will be reserved for CAS/GRS and ENG students until the beginning of the Fall semester.

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A2 Saenko CDS 364 R 8:00 am-8:50 am

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A3 Saenko CDS 364 R 9:30 am-10:20 am

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A4 Saenko CDS 364 R 3:35 pm-4:25 pm

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A5 Saenko CDS 364 R 11:15 am-12:05 pm

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
A1 Gong SHA 110 TR 9:30 am-10:45 am

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
A2 Gong KCB 107 F 12:20 pm-1:10 pm

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
A3 Gong KCB 103 F 1:25 pm-2:15 pm

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
A5 Gong CDS 701 F 10:10 am-11:00 am

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