Data Science, Kernel Trick, Nonlinear Models, Machine Learning, Data Transformation.
𝜅(𝑥,𝑦)=<𝜙(𝑥),𝜙(𝑦)>. Consequently, using the kernel brings advantage to algorithms which operate using the inner products/ distances of the given feature space, only. Common kernel functions 𝜅(𝑥,𝑦) are: RBF (radial basis function) kernel Polynomial kernel Sigmoid kernel Applying a kernel to a given