Kernel Trick, Support Vector Machine, Svm, Machine Learning, Data Science.
and y= (3, 4, 5) As we have seen, K(x, y) = < f(x), f(y) >, let us first calculate < f(x), f(y) > This as we find out, f(x).f(y) and K(x, y) give us the same result, but the former method required a lot of calculations(because of projecting 3 dimensions into 9 dimensions) while using the kernel, it