Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
importance w.r.t. to our data. So, our best bet could be to not allow weights to get larger than a certain point or simply to constrain the weight values, as that will help us in bounding weights and also some special things like promoting sparsity as in case of L1 regularization (we will talk