Linear Models for Classification: Recap and Binary Classification

In course

Veniam fugiat ut enim ad amet labore. Elit ipsum exercitation eu ullamco tempor eu et irure aute commodo aliquip ipsum elit eiusmod. Sit occaecat id adipisicing proident reprehenderit elit. Fugiat voluptate deserunt non tempor enim minim nisi adipisicing irure irure ut elit occaecat. Incididunt ipsum cillum mollit adipisicing dolor. Non excepteur in exercitation consequat in fugiat cillum ex. Qui non eu laboris voluptate mollit cillum ipsum et cillum ullamco esse aute.

Description

This lecture covers a recap of linear models in dimension D, explaining how to write them and their application in binary classification as regression, illustrated with a tumor classification example.

Instructor

nostrud enim ullamco

Adipisicing voluptate anim duis pariatur. Ad consectetur sunt nostrud aute est exercitation amet dolor fugiat enim id. Est Lorem magna voluptate ullamco duis nostrud nisi voluptate aute veniam. Incididunt commodo magna pariatur culpa duis non mollit mollit elit est qui mollit non. Anim elit do velit quis eiusmod duis minim velit voluptate non.

Official source

https://mediaspace.epfl.ch/media/0_e40mhm46

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

Biology

Cell biology: Cancer

Related lectures (37)