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ep3 - Ben Recht: A tour of optimization, machine learning, and control

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Is There a Genericity Problem in Machine Learning?

There are so many directions that I can take off from here. It seems to me that this could be an issue of genericity in some way or like the data that we get does not suffer from some sort of genericity problem and vice versa. The fact that you could have two data sets that kind of look the same and have a huge difference in performance really freaks me out about machine learning indicating some sort of high sensitivity somehow super high sensitivity. So I don't know yet. But I do think there are some things that we don't necessarily consider very frequently in machine learning that we should.

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