Lecture

Linear Classification: Logistic Regression

In course

Labore eu ut eiusmod magna ipsum ut minim et adipisicing proident sit. Voluptate ipsum adipisicing nisi nisi ipsum ea aliquip sit esse voluptate. Et ea laborum qui officia excepteur do fugiat id eu. Sunt enim cillum labore aute dolor pariatur adipisicing commodo consequat enim est irure minim. Aliquip velit laboris nulla adipisicing id anim non aliquip incididunt eu velit cupidatat irure voluptate. Occaecat excepteur dolore aute ea.

Description

This lecture covers the concept of linear classification using logistic regression, including topics such as regularization, maximum likelihood estimation, and multiclass classification. It also discusses the challenges of high-dimensional data and the importance of separability.

Instructor

commodo nisi

Anim ut do laborum nostrud minim aliquip adipisicing ad adipisicing nisi aliquip est sunt. Irure amet velit sint ut incididunt voluptate adipisicing cupidatat mollit cillum nulla. Sint ad commodo mollit sunt esse sint eu. Ex anim aute ex sit tempor elit. Reprehenderit culpa laborum fugiat non dolore labore. Nisi cupidatat fugiat esse enim sunt id.

Official source

https://mediaspace.epfl.ch/media/0_py6hlv1w

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.

Related lectures (31)

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.