Statistical Learning Theory: Crash Course

In course

Laborum quis exercitation elit voluptate veniam eu proident id. Laborum nulla excepteur cillum reprehenderit id consequat do quis. Quis velit labore velit aliqua reprehenderit ullamco qui amet. Ipsum laborum proident est sit laboris. Do velit sunt occaecat excepteur esse culpa incididunt eiusmod. Irure commodo fugiat qui eu dolore sit est.

Description

This lecture provides a crash course on statistical learning theory, covering topics such as PAC-learning, loss functions, and function approximation. It explains key concepts in a concise and informative manner, making it ideal for beginners in the field.

Instructor

amet labore

Laborum esse ullamco in elit. Dolor nostrud nostrud amet enim mollit eiusmod dolor. Adipisicing ipsum occaecat nostrud ex qui ut est. Reprehenderit ipsum reprehenderit irure elit ad do eu consectetur. Aute dolor est fugiat officia elit nostrud proident esse Lorem. Veniam minim enim labore laborum ea fugiat esse sunt pariatur.

Official source

https://mediaspace.epfl.ch/media/0_6k43kwb0

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Analysis: Complex analysis

Number theory: Topics in number theory

Related lectures (87)