Computer Science 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.
  • Corequisite: EE 503 and EE 510
  • Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 559.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30589D911Lecture12:00-1:50pmTuWTh1 of 20Mohammad Reza RajatiDEN@ViterbiPDF (220082 KB)session dates
30590D911Discussion2:00-2:50pmFriday1 of 20DEN@Viterbisession dates
30585R906Lecture12:00-1:50pmTuWTh13 of 60Mohammad Reza RajatiOHE100CPDF (220082 KB)session dates
30587R906Discussion2:00-2:50pmFriday13 of 60OHE100Csession dates
Information accurate as of January 18, 2024 10:51 am.