Vector to vector
A function that maps input data into a high-dimensional feature space
When data is mapped nonlinearly, it takes on nonlinear forms in 3D space, making it possible to classify well even with linear classifiers
Similarly, the kernel function result is the inner product between Feature Maps of x and z