91µÎµÎ

Updated: Sun, 10/06/2024 - 10:30

From Saturday, Oct. 5 through Monday, Oct. 7, the Downtown and Macdonald Campuses will be open only to 91µÎµÎ students, employees and essential visitors. Many classes will be held online. Remote work required where possible. See Campus Public Safety website for details.


Du samedi 5 octobre au lundi 7 octobre, le campus du centre-ville et le campus Macdonald ne seront accessibles qu’aux étudiants et aux membres du personnel de l’Université 91µÎµÎ, ainsi qu’aux visiteurs essentiels. De nombreux cours auront lieu en ligne. Le personnel devra travailler à distance, si possible. Voir le site Web de la Direction de la protection et de la prévention pour plus de détails.

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 credits)

important

Note: This is the 2021–2022 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 2021, Winter 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