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Mastering Model Complexity in 2025: A Deep Dive into VC Dimension in Machine Learning
In the era of ever-growing models and smart generalisation techniques, understanding model complexity is crucial for every machine learning engineer. That’s where VC Dimension — short for Vapnik-Chervonenkis Dimension — plays a game-changing role.
In the era of ever-growing models and smart generalisation techniques, understanding model complexity is crucial for every machine learning engineer. That’s where VC Dimension — short for Vapnik-Chervonenkis Dimension — plays a game-changing role.
