Posted in another thread, but sadly I got no replies...
Related question: how can I learn how to read the mathematical notation used in AI/ML papers? Is there a definitive work that describes the basics? I am a post-grad Engineer, so I know the fundamentals, but I'm really struggling with a lot of the Arxiv papers. Any pointers hugely appreciated.
I particularly enjoyed Kevin Murphy's book [0] for being just rigorous enough to satisfy but not too dry, but also not trying to add humor unnecessarily. It's not the best introduction text but it's great for someone with a little familiarity in the field who wants to broaden their understanding. There are proofs to rationalize some approaches, but not to the degree that would satisfy a hardcore mathematicians maybe, but tbh I think that's a good thing for a book of this scope.
If you find a sample, it may include the index of symbols in the beginning which is pretty comprehensive and may satisfy your question on its own.
Related question: how can I learn how to read the mathematical notation used in AI/ML papers? Is there a definitive work that describes the basics? I am a post-grad Engineer, so I know the fundamentals, but I'm really struggling with a lot of the Arxiv papers. Any pointers hugely appreciated.