[nbeleski]

Seems similar, or at least partially overlap, with what I would say is the best reference on the subject, an Introduction to Statistical Learning from Gareth James et al [1].

I wonder it this one might be a bit more accessible, although I guess the R/Python examples are helpful on the latter.

[1] https://www.statlearning.com/

[whimsicalism]

not really, islr is a pretty basic book - this is about more advanced techniques to propagate probability estimates rather than point-wise

and frankly i would not recommend islr anymore today, too dated

[keviniam]

What would you (or other informed parties) recommend?

[whimsicalism]

it’s been a while since I’ve been a beginner so I might not have the best resources, but I would recommend Harvard’s Stat 110 with Joe Blitzstein (lectures online) and then Machine Learning by Kevin Murphy. might be a scarier book to someone not confident in their math, but overall a better one imo

for something more directly comparable to the niche ISLR filled, Bishop’s books are generally better - although I can’t recall their title

[esafak]

https://www.bishopbook.com/ is the new one