Courses of Study 2023-2024 
    Jul 19, 2024  
Courses of Study 2023-2024 [ARCHIVED CATALOG]

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CS 4780 - Introduction to Machine Learning

Fall, Spring. 4 credits. Student option grading.

Prerequisite: CS 2800 , probability theory (e.g. BTRY 3080 , ECON 3130 , MATH 4710 , ENGRD 2700 ) and linear algebra (e.g. MATH 2940 ), calculus (e.g. MATH 1920 ) and programming proficiency (e.g. CS 2110 ). Course fee: $30. Co-meets with CS 5780 .

Fall: A. Damle, W. Sun; Spring: K. Weinberger.

The course provides an introduction to machine learning, focusing on supervised learning and its theoretical foundations. Topics include regularized linear models, boosting, kernels, deep networks, generative models, online learning, and ethical questions arising in ML applications.

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