Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
term that accounts for larger weights as well as sparsity as in case of L1 regularization. We have an entire section on L1 and l2, so, bear with me. We saw some new terms in last few paragraphs, like cost function, penalty term and constrained/unconstrained optimization. Lets see how they fit into