Why you might enjoy learning with Univ.AI
You have probably minimized a loss function to calculate the parameters of a model that best fits data for the purposes of prediction. But where does this loss come from? And where is the statistics? This is the first of a multi-part series tackling Statistical Learning Theory, and deals with learning without noise, or approximation.
subscribe via RSS