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Span & Linear Combination

Basis & Dimension

Linear Maps & Matrices

Inner Products & Norms

Orthogonality & Projections

Rank & Nullspace

Eigenvalues & Eigenvectors

PSD & PD Matrices

Singular Value Decomposition

Principal Component Analysis

Least Squares

Solving Systems

Conditioning & Stability

Sparse Matrices

Matrix Products in DL & Transformers

ML Book

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Chapter 01 — Vector Spaces and Subspaces