Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
the projected space having an even higher number of dimensions, the computational savings for a large dataset add up incredibly fast. So that’s one huge advantage of using kernels. Most SVM libraries already come pre-packaged with some popular kernels like Polynomial, Radial Basis Function (RBF),