+**Matrix Decomposition** breaks a matrix into simpler constituent parts, revealing its underlying structure. It's like finding the prime factors of a number, transforming complex problems into more manageable forms. This technique is crucial in fields ranging from [Data Science](/wiki/data_science) to [Machine Learning](/wiki/machine_learning).
+## See also
+- [Eigenvalue](/wiki/eigenvalue)
+- [Linear Algebra](/wiki/linear_algebra)
+- [Numerical Analysis](/wiki/numerical_analysis)
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