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I mean NNs are still quite bad at low n tabular data (and they may always be), which is honestly how a lot of real life data is, so there is clearly a need for not a neural network.

I feel like I've seem more tree ensembles in the wild than SVMs, though.



Anyway the idea of NNs was introduced to work on data which a simple human brain couldn't make sense of.

For more general tabular data, like trees, regression and even rule based models are more realistic.




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