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Date 10/09/2025
Date 03/09/2025
VC Dimension in Machine Learning
VC Dimension in Machine Learning
The Vapnik–Chervonenkis (VC) dimension is a measure of the capacity (complexity or expressive power) of a hypothesis class in machine learning. It tells us how well a model class can fit different patterns in the data.
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