Minerva Class Scheduling Visit Minerva Class Schedule for course dates & times.

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

MATH 562 Theory of Machine Learning (4 unités)

Offered by: Math. et statistique (Faculté des sciences)

Vue d'ensemble

Mathématiques et Statistiques (Sci) : Concentration inequalities, PAC model, VC dimension, Rademacher complexity, convex optimization, gradient descent, boosting, kernels, support vector machines, regression and learning bounds. Further topics selected from: Gaussian processes, online learning, regret bounds, basic neural network theory.

Terms: Hiver 2022

Instructors: Oberman, Adam (Winter)

  • Prerequisites: MATH 462 or COMP 451 or (COMP 551, MATH 222, MATH 223 and MATH 324) or ECSE 551.

  • Restrictions: Not open to students who have taken or are taking COMP 562. Not open to students who have taken COMP 599 when the topic was "Statistical Learning Theory" or "Mathematical Topics for Machine Learning". Not open to students who have taken COMP 598 when the topic was"Mathematical Foundations of Machine Learning".

Back to top