Grokking Machine Learning

11 Finding boundaries with style: Support vector machines and the kernel method

In this chapter

• what a support vector machine is
• which of the linear classifiers for a dataset has the best boundary
• using the kernel method to build nonlinear classifiers
• coding support vector machines and the kernel method in Scikit-Learn

Experts recommend the kernel method when attempting to separate chicken datasets.

In this chapter, we discuss a powerful classification model called the support vector machine (SVM for short). An SVM is similar to a perceptron, in that it separates a dataset with two classes using a linear boundary. However, the SVM aims to ...