What is the best book for learning ML/Deep Learning maths?
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
I am 17 years old and have a particularly deep interest in ai architectures and llms. I regularly read new papers from arXiv and huggingface and tend to understand only half of it, mainly from intuition. However I understand its impossible to understand anything completely without knowing the maths behind it. I do follow channels like 3b1b, but are there any books that I should also read in order to actually understand (and possibly contribute) to the field upto my capability?
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