The purpose of this post is to discuss the mathematics of support vector machines (SVMs) in detail, in the case of linear separability.
SVMs are a tool for classification. The idea is that we want to find two lines (linear equations) so that a given set of points are linearly separable according to a binary classifier, coded as ±1, assuming such lines exist. These lines are given by the black lines given below.
Author(s): Yeng Miller-Chang
Publication Date: 6 August 2021
Publication Site: Math, Music Occasionally, and Stats