Linear algebra for ML: one infographic covering the 9 core operations behind modern AI
burny_tech · x · 2026-11-11
Matharium shares an infographic mapping the nine linear algebra operations underpinning machine learning: vectors, matrices, matrix-vector products (y=Ax), matrix multiplication (C=AB), transpose, inverse and determinant, eigenvectors (Av=λv), SVD (A=UΣVᵀ), and least squares (x̂=(AᵀA)⁻¹Aᵀb). Linear regression, PCA and neural network layers are all built from these same operations.
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