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by somenameforme
712 days ago
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I think it's because most people's mental models for machine learning isn't great. They're not like brains or neurons, they're like a really convoluted quadratic regression calculator over an arbitrary number of variables. So if you stick to domains that this is appropriate for, you can actually spin together some pretty neat stuff. I think once one understands the XOR Problem [1], it all starts to mentally come together pretty quickly. [1] - https://www.educative.io/answers/xor-problem-in-neural-netwo... |
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