Linear Algebra and Matrix Operations Questions

Fundamental linear algebra concepts used throughout machine learning and data analysis. Topics include vector and matrix operations, linear transformations, matrix multiplication properties, eigenvalues and eigenvectors, singular value decomposition, principal component analysis, matrix factorizations, diagonalization, and how these concepts underpin algorithms such as linear models, embeddings, and matrix factorization methods.