The RBF kernel in Support Vector Machines: A Complete Guide

RBF Support Vector Machines

Support Vector Machines (SVM) are strong and commonly used algorithms in machine learning that help with supervised learning. SVMs are really good for tasks where you need to classify or predict something. One of the main reasons they are successful is the flexibility of the Radial Basis Function (RBF) kernel, also called the Gaussian kernel. … Read more