I finished this book (by 'finish', I mean read through Chapt 4 through Chapt 7, and read them three times).
Here's suggestion and what I think:
If you are comfortable reading online, use [this link] to read the GitBook version. A few benefits: errors are adjusted by the author in time, new sections coming from time to time that are only available here in the online version, and lastly, dark-mode possible.
From the TOC you'd see the book is mainly about model-agnostic methods, it introduces most of the model-agnostic concepts that are well-received. The list from this post are mostly for CV or NLP problems. Because my area is to interpret NNs that are trained
I finished this book (by 'finish', I mean read through Chapt 4 through Chapt 7, and read them three times).
Here's suggestion and what I think:
- If you are comfortable reading online, use [this link] to read the GitBook version. A few benefits: errors are adjusted by the author in time, new sections coming from time to time that are only available here in the online version, and lastly, dark-mode possible.
- From the TOC you'd see the book is mainly about model-agnostic methods, it introduces most of the model-agnostic concepts that are well-received. The list from this post are mostly for CV or NLP problems. Because my area is to interpret NNs that are trained
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