CS 5780
Introduction to Machine Learning
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.
Prerequisites & course information
background equivalent to: CS 2800; STSCI 3080 or ECON 3130 or MATH 4710 or ENGRD 2700; MATH 2940; MATH 1920; CS 2110.
Sources
Catalogue variants
- Introduction to Machine Learning · 4.0 · Graduate