USC Schedule of Classes

Summer 2022

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
30589D911Lecture11:00-12:50pmTuWTh4 of 20Mohammad Reza RajatiDEN@Viterbisession dates
30590D911Discussion2:00-2:50pmFriday4 of 20DEN@Viterbisession dates
30585D906Lecture11:00-12:50pmTuWTh20 of 60Mohammad Reza RajatiOHE100Csession dates
30587R906Discussion2:00-2:50pmFriday20 of 60OHE122session dates
Information accurate as of February 13, 2023 7:40 am.
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