I suppose it's like software development generally. To be good at it you need a sense of what good programming feels like, but advanced books like Knuth's "The Art of Computer Programming" aren't really relevant to the day-to-day work of gluing together libraries and writing code that doesn't go deeper than for loops.
Similarly I suppose most ML work is done with some solid basics but advanced math textbooks aren't really needed, and people actually working at the theoretical advanced math level are rare and in a handful of academic positions or corporate research labs requiring high credentials or other specific qualifications.
Similarly I suppose most ML work is done with some solid basics but advanced math textbooks aren't really needed, and people actually working at the theoretical advanced math level are rare and in a handful of academic positions or corporate research labs requiring high credentials or other specific qualifications.
Thanks for your input.