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I'd be careful of over applying the "bias-variance tradeoff." How to define the variance of a model is not a simple task. I wouldn't say it is immediately obvious how bias-variance…

Sometimes reimplantation is impossible without the code and the paper goes on to win awards because it's by a famous scientist. Then if the reimplantation doesn't work most of the …

My understanding of the read was to show "how" they're equivalent as opposed to how to actually construct such an approximator or learn it. Similar to showing a problem falls in NP…

That's correct. See https://en.wikipedia.org/wiki/Universal_approximation_theore... for more details

SVMs are solved via convex optimization methods which have taken more time to get on the GPU train. On the other hand there are GPU accelerated SVM training such as: https://github…

Location: Miami, Florida Remote: Yes Willing to relocate: Yes Technologies: Python, Node, Pytorch, Tensorflow Résumé/CV: https://stevenbas.art/resources/resume/ Email: xksteven@uch…