> if people in machine learning ever look at literature. They don't. A few other things they seem completely unaware of: - other ways to represent functions

> if people in machine learning ever look at literature. They don't. A few other things they seem completely unaware of: - other ways to represent functions besides neural networks (harmonic analysis, polynomials, etc) - other models exist besides neural networks. ie. if you can model the problem with a simple equation you can just optimize that. - polynomial regression. Someone who has read "numerical recipies" is probably more capable in solving ML problems than an "ML software engineer".