Contents

Scalars, Vectors, Matrices, and Tensors
Matrix-Vector Multiplication
Identity and Inverse Matrices
Linear Dependence and Span
Vector and Matrix Norms
Special Matrices and Vectors
Eigendecomposition
Singular Value Decomposition (SVD)
Moore-Penrose Pseudoinverse
The Trace Operator
Determinants
Principal Components Analysis (PCA)

Linear Algebra Codes https://github.com/jiwook021/Algorithms/tree/master/Linear_Algebra

Reference Book

Linear Algebra and Its Applications Book by David C Lay

Linear Algebra and Learning from Data Book by Gilbert Strang

Recommended Video: Herbert Gross Math Lectures

Lecture for Linear Algebra

Linear Algebra by 3blue 1brown.


Linear Algebra Lecture by Gilbert Strang


Singular Value Decomposition Series By Steve Bruton