Topics in Statistics: Statistical Learning Theory
The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural…
Course Description
The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory. — Course material by Prof. Dmitry Panchenko, MIT OpenCourseWare, used under CC BY-NC-SA 4.0. Original: https://ocw.mit.edu/courses/18-465-topics-in-statistics-statistical-learning-theory-spring-2007/
Related Courses
More from the AI catalogue
