6-7 months is a good amount of time to bone up on a new mathematical topic, and is probably better for your mind than banging out code, unless you have a progra

6-7 months is a good amount of time to bone up on a new mathematical topic, and is probably better for your mind than banging out code, unless you have a program inside of you that is bursting to get out. E.g. I'd like to be clueful about AI, which to me I think means studying stuff like high dimensional analysis, rather than "How to use ChatGPT". Blum, Hopcroft, and Kannan's book "Foundations of Data Science" looks really good for that: https://www.cs.cornell.edu/jeh/book%20no%20so;utions%20March%202019.pdf https://www.cs.cornell.edu/jeh/book%20no%20so;utions%20March... I got a page or two into it and had to put it aside, but someday. The book is officially published now ( https://www.cambridge.org/core/books/foundations-of-data-science/6A43CE830DE83BED6CC5171E62B0AA9E https://www.cambridge.org/core/books/foundations-of-data-sci... ) but I'm satisfied with the PDF. There is an HN thread about similar books: https://news.ycombinator.com/item?id=34312248 https://news.ycombinator.com/item?id=34312248 Added: I would also like to know how homomorphic encryption works, and I think that would be less of a commitment, but it's only because I'm into crypto.