USC Schedule of Classes

Fall 2016

Electrical Engineering 660:

Machine Learning from Signals: Foundations and Methods (3.0 units)

Supervised, semi-supervised, and unsupervised machine learning; classification and regression. Model complexity, assessment, and selection; performance (error) on unseen data. Prerequisite: EE 441 and EE 503. Recommended preparation: EE 559 or CSCI 567.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30460R048Lecture3:30-4:50pmTue, Thu36 of 55Antonio OrtegaOHE132feesession dates
30889D034Lecture3:30-4:50pmTue, Thu0 of 20Antonio OrtegaDEN@Viterbifeesession dates
Information accurate as of March 5, 2017 4:44 pm.
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