Detailed Class Information |
Winter 2022
Jul 09, 2025 |
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| Theory of Machine Learning. - 6525 - MATH 562 - 001 |
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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.
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". Associated Term: Winter 2022 Lecture Schedule Type 4.000 Credits View Catalog Entry
Cross List Courses: COMP 562 Restrictions: May not be enrolled in one of the following Colleges: School of Continuing Studies Fac Dental Medicine & Oral HS Faculty of Medicine & Hlth Sci |
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