The most important thing is not mentioned by the author or by the deep maths thinking he critiques. It is understanding when and how to apply a model, how to ev

The most important thing is not mentioned by the author or by the deep maths thinking he critiques. It is understanding when and how to apply a model, how to evaluate your results for robustness, how to interpret what it's saying. These things can be taught/learned by solving problems along with a master, even if that master is represented by a really good book, without a deep understanding of the math. In short, to _apply_ machine learning tools, you need a good understanding of _applied_ machine learning, which is not a small subject area, but is very approachable for most.