Data Science, Kernel Trick, Machine Learning, Machine Learning Theory.
within an infinite dimensional space? All we need is simply equip ℌ with an inner product that reproduces the kernel K — for every u, v∈𝒳, ⟨ Kᵤ, Kᵥ ⟩=K(u, v). With this specialized inner product, comes with the most powerful theorem — representer theorem: Given A set of training sample