ECSE 608 Machine Learning (4 credits)

Offered by: Electrical & Computer Engr (Faculty of Engineering)

Administered by: Graduate Studies

Overview

Electrical Engineering : An overview of state-of-the-art algorithms used in machine learning, including theoretical properties and practical applications of these algorithms.

Terms: This course is not scheduled for the 2009-2010 academic year.

Instructors: There are no professors associated with this course for the 2010-2011 academic year.

  • (3-0-9)
  • Prerequisites: COMP 424, COMP 526 or ECSE 514, COMP 360, MATH 323 or ECSE 305.
  • Restriction: Not open to students who have taken COMP 652.
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