香蕉视频

McGill.ca / Vue d'ensemble / All Courses

COMP 551 Applied Machine Learning (4 unit茅s)

important

Nota : Ceci est la version 2017鈥�2018 de l'annuaire 茅lectronique. Veuillez mettre 脿 jour l'ann茅e dans la barre d'adresse de votre navigateur pour une version plus r茅cente de cette page, ou .

Offered by: Informatique (Sciences)

Vue d'ensemble

Informatique (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: Automne 2017, Hiver 2018

Instructors: Pineau, Joelle (Fall) Chandar, Sarath; Lowe, Ryan; Van Hoof, Herke (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