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by maxwells-daemon
1839 days ago
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I think it depends! If you want to zoom out and take the "systems view" using standard components, then you probably don't need much math. If you want to develop new architectures or algorithms, then you definitely will. The well-trodden paths of ML might have most of their math abstracted away, but in my experience every time you get close to the frontiers, people are using math to understand what's going on or develop new approaches. |
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I stopped studying maths well before university. I am not some kind of math super genius. But working on my own stuff, which did involve new problems, I was up the creek fairly quickly without a solid mathematical understanding of the techniques I was trying to use.
I don't think the bar is particularly high here. Solid understanding of stats, ESL...but I have seen people shotgunning models (I did this years ago too), and that isn't going to work very long.
Also, I don't really understand why you wouldn't study some of this stuff. Maths as taught in schools treats you like a meat calculator...that isn't fun. But if you are interested in ML, going through Stats, Linear Algebra...it is pretty interesting because there are so many clear connections with your work.