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.
30460R048Lecture3:30-4:50pmTue, Thu47 of 55Keith JenkinsOHE132PDF (241057 KB)feesession dates
30889D034Lecture3:30-4:50pmTue, Thu4 of 20Keith JenkinsDEN@ViterbiPDF (241057 KB)feesession dates
Information accurate as of March 7, 2016 8:09 am.