01 — Scalars, Vectors, Matrices, Tensors
02 — Vector & Matrix Operations
03 — Dot Product & Geometric Interpretation
04 — Matrix Multiplication
05 — Identity, Transpose, Inverse
06 — Rank of a Matrix
07 — Systems of Linear Equations
08 — Linear Transformations
09 — Column Space & Null Space
10 — Eigenvalues & Eigenvectors
11 — Orthogonality
12 — Norms & Distances (L1, L2)
🧮 Linear Algebra
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The Backbone of ML · AI Engineer's Guide