Vapnik and Chervonenkis: The Founding Fathers of Machine Learning
SMRTR summary
Soviet mathematicians Vladimir Vapnik and Alexey Chervonenkis built machine learning's theoretical foundation in 1964, introducing VC theory, which explains how models generalize beyond training data. Their work on Support Vector Machines and generalization bounds now underpins nearly every modern AI algorithm, yet they remained largely overlooked for decades.
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