Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
regularization setup completely, just some insights on choice of P is left. As we are accounting for magnitude of weights thus most obvious choice is the usage of something which we refer as Norm. With this we conclude our part-1, and learnt about optimization and its conjunction with complexity,