Re:Ask HN: Resources to brush up from 'Intro to ML' to curre...
by kaycebasques on Saturday November 18, 2023 @10:06AM
(#38320390)
https://course.fast.ai/
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Re:Ask HN: Resources to brush up from 'Intro to ML' to curre...
by OJFord on Saturday November 18, 2023 @10:13AM
(#38320450)
Thanks for the reply, I'll have a more detailed look, but just on a cursory skim:
> After finishing this course you will know:
> How to train models that achieve [...]
Is exactly the kind of 'applied' or straight to coding something, using an existing model to create some product, that I'm not really so interested in.
Like, if I needed it for something, I (perhaps naïvely) think I'd just figure it out from API docs etc. I'm more interested in the theory (and in abstract, not to apply to some problem I actually have) - how/why does it work, what is that model, how was it produced, etc.