Discussion
What do the no free lunch theorems assert?
Answer: B
Averaged over every possible problem, all algorithms perform equally, so any algorithm's advantage comes from its assumptions matching the structure of the problems actually encountered. That is why choosing a method is choosing a set of assumptions rather than finding a universally best tool. Learning from finite data is certainly possible given assumptions, and computation and interpretability are separate matters. A theorem that forbids a universal solution redirects effort towards understanding the problem instead.
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