Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
could argue that what if we standardize or normalize our distribution, won’t it prevent parameters from going berserk, the answer is No, lets say you want to write a function y = f(x), where x is [1 ,1], and expected y is lets say 4. Parameters of f are w1 and w2. In how many ways can we combine