Concentration of Measure

Machine Learning Fundamentals

A phenomenon where random variables in high-dimensional spaces concentrate around their mean or median, with most probability mass within a narrow band.

This concept is essential for understanding machine learning fundamentals and forms a key part of modern AI systems.

Curse of Dimensionality
High Dimensions

Related Terms

Curse of Dimensionality

Challenges arising when working with high-dimensional data, including data sparsity and computational complexity.

Curse of Dimensionality

Phenomena where algorithms become inefficient as dimensionality increases, including data sparsity and distance concentration.

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