That's why they wrote Introduction to Statistical Learning[0] and also a video series for the same book[1]. Both books and the video classes are a must for anyone working with Machine Learning and/or Statistics.
Definitely. And hell, EoSL is a _wide_ survey, and some of the content is only adjacent to ML. Eg, MCMC for Bayesian models: there are good applications in ML, and a short bit in EoSL about the Gibbs sampler, but there’s a massive parallel literature in the statistical inference world.
[0] http://faculty.marshall.usc.edu/gareth-james/ISL/ [1] https://www.youtube.com/watch?v=5N9V07EIfIg&list=PLOg0ngHtcq...