Newton had to invent calculus before his laws made sense. There isn't anything equivalent to that in modern machine learning. It uses concepts that are centurie

Newton had to invent calculus before his laws made sense. There isn't anything equivalent to that in modern machine learning. It uses concepts that are centuries old except for maybe a few stats techniques that might be around WWII era since there was a big stats push around then. Plus back-propagation which is a pretty big deal, but it is hardly new to the boom we're seeing right now. It is an idea that was sitting around for a while before hardware changes made it effective.