I'm a little bit about the SVM. I'm actually understanding for which purpose Support Vector Machines are used. The aim is to find the biggest (best) hyperplane between two different data clusters. The question is here do we apply SVM after we have classified data points or is Classification also a task of SVM?
The examples on videos begins always with predefined positive and negative / or blue and red data points.