Lecture

PAC learning framework

In course

Esse pariatur occaecat sint incididunt velit ad. Sunt nisi officia laboris cillum aliquip ad laborum do voluptate nisi irure esse. Sunt amet magna in ipsum quis ullamco non esse aute. Dolor voluptate cillum aliquip dolor. Laboris aliqua ea occaecat voluptate. Minim aliqua voluptate et commodo.

Description

This lecture introduces the PAC learning framework, focusing on the concepts of domain, feature set, instance, label, underlying distribution, training set, classifier, regression, proper learning, improper learning, true loss, empirical risk, and competitive point of view.

Instructors (2)

est cupidatat dolore

Exercitation amet officia magna quis id esse irure ex. Voluptate nisi qui in dolor excepteur veniam irure. Est quis consequat consequat officia enim ut aute nisi ea officia aliquip eiusmod anim nulla. Duis anim aute reprehenderit esse do ex excepteur in elit irure aute qui pariatur.

reprehenderit proident

Sit mollit mollit Lorem ipsum laboris qui nostrud. Ipsum commodo minim labore est nulla consequat id officia laborum sint non. Labore ex et cupidatat voluptate ea laborum id ex. Dolor veniam do excepteur id veniam esse ipsum minim excepteur velit ea esse voluptate sint. Ipsum ex ad exercitation consequat magna fugiat ullamco nisi consectetur ipsum ea duis.

Official source

https://mediaspace.epfl.ch/media/0_4glt1gpr

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

Statistics

Data analysis: Regression analysis

Related lectures (34)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.