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I think you're just more interested in the practical side of ML which is totally fine! I'm a bit skeptical of how much math and theory the average MLE actually

I think you're just more interested in the practical side of ML which is totally fine! I'm a bit skeptical of how much math and theory the average MLE actually needs. Obviously they do need some, but how much? I'm not sure. But on the other hand, the theoreticians often need much more math. Something like the SVM could only have been invented by a math genius like Vapnik.

nickpsecurity 2y ago
Meat pro's told me linear algebra and some differential calculus is the bare minimum. That's because some classes are designed to build on only that. However, I think statistics and probability would be helpful since they keep using techniques from both. Also, you can solve many problems without deep learning just using older, statistical methods.
lucasoshiro 2y ago
> But on the other hand, the theoreticians often need much more math I see... I'm really not interested (at the moment, at least) to be a pro, only to be able to train models for simple tasks and understand the process