Machine Learning | The Vapnik-Chervonenkis Dimension
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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 Machine Learning 👉https://www.youtube.com/playlist?list=PLPN ...
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