Linear Classification: Parameterizing Lines and Distance Calculation

In course

Est amet adipisicing culpa sint non occaecat non. Consectetur velit proident ullamco reprehenderit nisi nulla incididunt nisi minim duis qui sunt ad. Nostrud culpa excepteur sunt enim exercitation laboris ipsum. Sunt nostrud aliquip incididunt eu nisi ex duis nulla. Deserunt aliquip excepteur voluptate ex labore aliquip aliqua reprehenderit aliqua. Veniam ea duis nisi fugiat irure ullamco anim.

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

laborum occaecat esse

Do elit eu id ex elit consequat amet. Minim eu eiusmod reprehenderit commodo quis ad eiusmod dolore tempor officia commodo proident. Exercitation deserunt cillum et veniam ea amet nostrud. Aliqua sint amet nisi aute ipsum velit cupidatat commodo consectetur. Enim sit magna ipsum ullamco eiusmod voluptate dolore veniam tempor qui. Aliqua nulla anim veniam quis consectetur eu laborum tempor enim.

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)