Support Vector Machines

Medium

Maximum-margin classifiers that find the hyperplane with the largest gap between classes. The kernel trick maps to infinite-dimensional feature spaces.

Learning Objectives

→Understand the maximum-margin objective
→Describe support vectors geometrically
→Apply the kernel trick conceptually
→Compare soft-margin vs. hard-margin SVM

Coding Problems (2)

SVM Geometric Margin

Pro

~10 min· Easy

RBF Kernel

Pro

~12 min· Easy

Concept Check

Optional multiple-choice questions on the ideas behind this section. Most useful after you have tried the coding problems above.