Parametric methods involve fixed parameters, e.g. \(f(x) = w^\top \phi(x)\) Nonparametric methods have parameters that grow as the data grows, e.g. \(f(x) = \sum^N_{i=1} \alpha_i \kappa(x, x_i)\) Examples include §gaussian_processes.