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ml-recall

#generalization-bound

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In a generalization bound, the sampling term shrinks like c/Nc/\sqrt{N} with the number NN of training examples. With N=10,000N = 10{,}000 the term equals 0.060.06. About how many examples are needed to bring it down to 0.020.02?

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