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Linear Algebra for Data Science with Python

Linear Algebra for Data Science with Python

1. Introduction
2. Vectors and Vector Operations
3. Matrices and Operations
4. Solving Systems of Linear Equations
5. Exact and Approximate Data Fitting
6. Transforming Data

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Alternative Bases via Eigendecomposition

6.4. Alternative Bases via Eigendecomposition#

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6.3. Set-Specific Bases: The Gram-Schmidt Algorithm

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6.5. Chapter Summary

By John M. Shea

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