Ï㽶ÊÓƵ

McGill.ca / Overview / All Courses

COMP 551 Applied Machine Learning (4 credits)

important

Note: This is the 2018–2019 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Computer Science (Faculty of Science)

Overview

Computer Science (Sci) : Selected topics in machine learning and data mining, including clustering, neural networks, support vector machines, decision trees. Methods include feature selection and dimensionality reduction, error estimation and empirical validation, algorithm design and parallelization, and handling of large data sets. Emphasis on good methods and practices for deployment of real systems.

Terms: Fall 2018, Winter 2019

Instructors: Chandar, Sarath (Fall) Hamilton, William (Winter)

  • Prerequisite(s): MATH 323 or ECSE 205 or ECSE 305 or equivalent

  • Restriction(s): Not open to students who have taken COMP 598 when topic was "Applied Machine Learning"

  • Some background in Artificial Intelligence is recommended, e.g. COMP-424 or ECSE-526, but not required.

Back to top