Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
data is linearly separable without any misclassifications. Such SVM is called hard margin SVM. Mathematically, this can be formulated as an optimization problem where the objective is to maximize the margin while ensuring that all datapoints are correctly classified. But in reality this is not