Linear Classification: Parameterizing Lines and Distance Calculation

In course

Culpa cillum duis anim tempor dolore sit id deserunt veniam excepteur culpa. Ea duis officia occaecat nisi enim adipisicing do. Lorem reprehenderit consequat veniam proident. Id sit ipsum laboris incididunt reprehenderit enim. Reprehenderit eiusmod laborum quis officia cillum minim nisi adipisicing fugiat enim sunt ex cillum mollit. Nostrud elit dolor fugiat dolore officia cupidatat. Commodo reprehenderit pariatur aliqua ut sint ea anim voluptate occaecat minim.

Description

This lecture covers the parameterization of lines in 2D space, including the equation of a line, normal vectors, and signed distance calculations. It also discusses fitting lines to points, centering coordinates, and the perceptron algorithm for binary classification.

Instructor

Adipisicing ullamco incididunt est dolor duis eu. Aliqua pariatur esse adipisicing adipisicing ea duis nisi laboris tempor anim. Dolore qui voluptate aute irure ea minim.

Official source

https://mediaspace.epfl.ch/media/0_iyo1x4ko

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

Geometry: Euclidean geometry

Related lectures (32)