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Machine learning just feels like a bunch of people trying random shit until something kind of works. Granted, that's probably the very definition of this kind o
by sombremesa 9y ago
Machine learning just feels like a bunch of people trying random shit until something kind of works. Granted, that's probably the very definition of this kind of exercise in approximation, but I'd like there to be a bit more formalism in the creation, and not just in the validation, of these networks. It's like computer science is hardly even a science and more of an art when you come to ML - that's not a good thing!
- riku_iki 9y agoI think it is because entropy of data is usually very high, and it is very hard to predict which architecture will work for your data the best without trying.