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ECSE 608 Machine Learning (4 credits)

Note: This is the 2010–2011 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.

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 2010-2011 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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