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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] returned a 404, but this appears to be substitute: https://statlearning.com/

Hmm weird, it works for me. Thanks for the alternative link

And a second edition of ISLR is "coming soon" [1].

[1] https://twitter.com/daniela_witten/status/126169362443927961...