Alexey Chervonenkis is a prominent Russian mathematician and statistician, best known for his contributions to the fields of statistical learning theory and probability theory. He is particularly recognized for his work on the concept of VC (Vapnik-Chervonenkis) dimension, which is a fundamental concept in statistical learning theory that characterizes the capacity of a statistical model to fit a set of data points.
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