Electrical and Computer Engineering 559:

Machine Learning I: Supervised Methods (4.0 units)

Distribution-free and probabilistic methods for supervised classification and regression; learning algorithms; optimization techniques; feature-space transformations; parametric and nonparametric methods; Bayes decision theory; artificial neural networks.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30490R048Lecture3:30-5:20pmMon, Wed42 of 60Keith ChuggDMC156session dates
30727R048Discussion5:30-6:20pmThursday43 of 60Keith ChuggGFS116session dates
30561D034Lecture3:30-5:20pmMon, Wed3 of 60Keith JenkinsDEN@Viterbisession dates
30489R034Discussion5:30-6:20pmThursday3 of 60Keith JenkinsDEN@Viterbisession dates
30728R048Lecture3:30-5:20pmMon, Wed
60 of 60
Keith JenkinsOHE122session dates
30565R048Discussion5:30-6:20pmThursday59 of 60Keith JenkinsOHE122session dates
Information accurate as of September 13, 2023 1:50 pm.