Data Science, Kernel Trick, Machine Learning, Machine Learning Theory.
kernel function K: 𝒳 ×𝒳 → ℝ characterizes geometric properties such as norm, distance and angle of the input space, with In addition to the ability to characterize the input space, what’s more important is the ability to characterize the function space, a.k.a. reproducing kernel Hilbert space (RKHS