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COMP 3202

Introduction to Machine Learning

Undergraduate

introduces concepts and algorithms in machine learning for regression and classification tasks. The course gives the student the basic ideas and intuition behind model selection and evaluation, and selected machine learning methods such as random forests, support vector machines, and hidden Markov models.

Prerequisites & course information

CR: Statistics 3486 PR: COMP 3200 ; or COMP 2001 or the former COMP 2710, COMP 2002 or the former COMP 2711, and Statistics 2500 or Statistics 2550 ; and Mathematics 2050

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