开始时间: 04/22/2022 持续时间: 未知
所在平台: MIT公开课 课程类别: 数学 大学或机构: ocw |
课程评论:没有评论
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.