Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
distribution, they would stop growing, because any value above that, though would reduce MSE but would account for very heavy penalty as well. Thus, this boundary act as sweet spot for optimization. Now, we are almost done, we know that just adding this regularization term to our main objective