Support Vector Machine, Svm, Kernel Trick, Margin.
problem: finding the hyperplane that maximizes the margin while correctly classifying the training data. This optimization task can be framed as a quadratic programming problem, where the goal is to minimize the weight vector subject to certain constraints. The Kernel Trick: Elevating SVM’s Power