COMP 551 Applied Machine Learning (4 unit茅s)

Main navigation

Note: This is the 2023鈥�2024 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

COMP 551 Applied Machine Learning (4 unit茅s)

Minerva Class Scheduling Visit Minerva > Student > Registration > Class Schedule for course dates & times.

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 2023, Hiver 2024

Instructors: Pr茅mont-Schwarz, Isabeau; Rabbany, Reihaneh (Fall) Li, Yue; Pr茅mont-Schwarz, Isabeau (Winter)

Prerequisite(s): MATH 323 or ECSE 205, COMP 202, MATH 133, MATH 222 (or their equivalents).
Restriction(s): Not open to students who have taken or are taking COMP 451, ECSE 551, or PSYC 560.
Some background in Artificial Intelligence is recommended, e.g. COMP-424 or ECSE-526, but not required.

Back to top

苹果淫院

Main navigation

COMP 551 Applied Machine Learning (4 unit茅s)

Vue d'ensemble

Related Content

Department and University Information

Enrolment Services