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Topics in Statistics: Statistical Learning Theory

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 networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory.

Duration: Not defined

Level: Graduate

Certification: No

Cost: Free

Language: English

Type: Self-Paced



Please note: these courses are provided by external sources, links are not actively managed or regularly updated, content might be moved or unavailable.
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