A quick look at the table of contents suggests that it’s focused more on model-agnostic methods. I think you’d get a different overview of the field compared to the papers we’ve summarized here, as an fyi.
I think one large area you’d miss out on from reading the book is the recent work on making neural nets more interpretable, or designing more interpretable neural net architectures (e.g. NBDT).
I have not read the book, perhaps Peter has.
A quick look at the table of contents suggests that it’s focused more on model-agnostic methods. I think you’d get a different overview of the field compared to the papers we’ve summarized here, as an fyi.
I think one large area you’d miss out on from reading the book is the recent work on making neural nets more interpretable, or designing more interpretable neural net architectures (e.g. NBDT).