Electrical and Computer Engineering 660:

Machine Learning II: Mathematical Foundations and Methods (4.0 units)

Supervised, semi-supervised, and unsupervised machine learning; domain adaptation and transfer learning. Feasibility of learning, model complexity, and performance (error) on unseen data.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30460R048Lecture2:00-3:50pmTue, Thu97 of 120Keith JenkinsOHE122PDF (253652 KB)session dates
30889D034Lecture2:00-3:50pmTue, Thu9 of 20Keith JenkinsDEN@ViterbiPDF (253652 KB)session dates
31100R048Discussion3:30-4:20pmFriday97 of 120OHE122session dates
31101D034Discussion3:30-4:20pmFriday9 of 20DEN@Viterbisession dates
Information accurate as of January 29, 2023 5:14 pm.
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