MATH8875 · Mathematics

Topics in Deep Learning Theory

Morrissey College of Arts & Sciences

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4.7 / 5Course rating

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Who teaches this? 1

Both ratings are out of 5, for each instructor’s sections of MATH8875.

Julia Grigsby

Professor, Mathematics Department

1 evaluation for this course

Instructor: 4.8
Course: 4.7

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Julia Grigsby

Professor, Mathematics Department

1 evaluation for this course

Instructor: 4.8
Course: 4.7

About this course

Topics course in mathematical aspects of machine learning. The course will begin with an introduction to statistical learning theory and some classical supervised and unsupervised learning algorithms, then survey some motivating modern questions in deep learning theory, with an emphasis on how geometry, topology, and combinatoricsenter the mathematical picture.

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Evaluation history 1 terms

All available terms for MATH8875. Numerical averages use the five-point scale.
Term	Evaluations	Course rating	Instructor rating
Fall 2023	1	4.7	4.8