Understanding Machine Learning (Shalev-Shwartz, Ben-David)

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The NO-FREE-LUNCH theorem (Wolpert; SSBD Ch 5) states that, averaged over ALL data-generating distributions, every learner has the same expected loss. What is the right takeaway?