Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
is used when the data has a complicated curved border. The radial basis kernel is even more powerful than the polynomial kernel, and it is often used for image classification tasks. It is more of a general purpose kernel employed when the data has no clear boundaries and contains complicated areas