ƽÌØÎå²»ÖÐ

Minerva Class Scheduling Visit for course dates & times.

Dernières mises à jour en lien avec la COVID-19 disponibles ici.
Latest information about COVID-19 available here.

COMP 551 Applied Machine Learning (4 unités)

important

Nota : Ceci est la version 2021–2022 de l'annuaire électronique. Veuillez mettre à jour l'année dans la barre d'adresse de votre navigateur pour une version plus récente 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 2021, Hiver 2022

Instructors: Ravanbakhsh, Siamak (Fall) Rabbany, Reihaneh (Winter)

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

  • Restriction(s): Not open to students who have taken or are taking COMP 451.

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

Back to top