À¦°óSMÉçÇø

Minerva Class Scheduling Visit for course dates & times.

important

Note: This is the 2022–2023 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

MATH 462 Honours Mathematics for Machine Learning (3 credits)

Offered by: Mathematics and Statistics (Faculty of Science)

Overview

Mathematics & Statistics (Sci) : Foundations of optimization and convex analysis, stochastic gradient descent. Divergences, loss functions, empirical loss minimization and parameter estimation. Reproducing kernel Hilbert spaces. Multiple linear regression in the context of machine learning. Classification with support vector machines. Dimensionality reduction, Johnson-Lindenstrauss Lemma. Concentration of measure and learning bounds.

Terms: Fall 2022

Instructors: Oberman, Adam (Fall)

Back to top