Lecture

Support Vector Machines: Linear Separability

Description

This lecture covers the concept of linear separability in support vector machines (SVM). It explains how an SVM seeks to find a hyperplane that separates positive and negative points in a dataset. The lecture delves into the margin of a separating hyperplane, the origin of the SVM name, support vectors, and the formulation of SVM with a rigid margin.

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Official source

https://mediaspace.epfl.ch/media/0_osh97ntp

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