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

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The Ultimate Myth to Be Busting

I was wondering what was your favorite myth to be busting or what would you be willing to, to do like in the future? What's the ultimate myth to bust? I think probably like the, they're probably lots of good examples here. But a really notable one and one I've been writing about is 'overfitting' The idea that somehow you believe a little bit too much in your data and are unable to extrapolate out to new data.

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