USC Schedule of Classes

Spring 2023

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.
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 October 2, 2023 7:43 am.