Machine Learning | The Vapnik-Chervonenkis Dimension

In Vapnik-Chervonenkis theory, the Vapnik-Chervonenkis (VC) dimension is a measure of the capacity (complexity, expressive power, richness, or flexibility) of a space of functions that can be learned by a statistical classification algorithm. #MachineLearning #VCDimension
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