USC Schedule of Classes

Spring 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.
30561D034Lecture3:30-5:20pmMon, Wed73 of 120Keith JenkinsDEN@ViterbiPDF (371931 KB)session dates
30728D048Lecture3:30-5:20pmMon, Wed114 of 120Keith JenkinsOHE122PDF (371931 KB)session dates
30489R034Discussion5:30-6:20pmThursday72 of 120DEN@Viterbisession dates
30565R048Discussion5:30-6:20pmThursday114 of 120OHE122session dates
Information accurate as of October 6, 2022 11:00 am.
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