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

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The Perceptron and Machine Learning

In the 1950s and 1960s, people started experimenting with machine learning methods. The idea was that there's this difference between sample versus out sample performance. And in my group, we've done now just hundreds of experiments where it's showing that that just doesn't happen. So I don't have a satisfactory explanation for why we don't actually see this kind of overfitting behavior.

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