🔢Linear Algebra for Engineers

Master the mathematical backbone of machine learning, signal processing, and scientific computing. By the end you will decompose any matrix into its fundamental subspaces, compute eigenvalues and eigenvectors, apply the SVD for low-rank approximation and compression, and solve least-squares problems — all with geometric intuition and NumPy.