Machine Learning: The Mathematics of Support Vector Machines – Part 1





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