It's all around. The math portion just doesn't get as much hype. For example, Goodfellow and Bengio's book on Deep Learning talks a lot about connections to Ba

It's all around. The math portion just doesn't get as much hype. For example, Goodfellow and Bengio's book on Deep Learning talks a lot about connections to Bayesian Inference, Classical Statistics, Information Theory, and a bit about Topology. Christopher Oolah's blog gives plenty of great explanations of mathematical topics. Personally, I use Math in my work all the time. Thinking in terms of Information Theory has let me quantify and compare algorithms that seemed difficult to evaluate at first. And several times, I've seen a business make the wrong decision due to lack of Math/Stats background. I don't mean to be a Math snob – you can absolutely do a lot of valuable work treating algorithms as black boxes. But the Math is there, and it is being used.