Machine Learning, Kernel, Hilbert Space, Mercer Theorem.
16+40+72+40+100+180+72+180+324 = 1024. Now we use kernels to compute these directly k(x, y) = ( Dot_Product(x ,y) )² = (4 + 10 + 18) ^2 = 1024 . The algorithm we will use after getting the dot product is independent of the choice of kernels. This signifies modularity. Hilbert Space A Hilbert Space