Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
about this in later section). As we know that larger weights means high complexity and thus leads to overfitting in most cases. And the solution which we saw above was to put some restriction/constrains over the parameter values. Thus, I think the link should be clear between unconstrained