Unlock the power of MATLAB with linear algebra! 🚀 Whether you're diving into data science, machine learning, or engineering, understanding matrices and vectors is a game-changer. In this eye-opening tutorial, expert Udemy instructor Mike X Cohen walks you through the most essential linear algebra concepts—from vectors and matrices to eigen decomposition and the SVD—all using practical MATLAB examples. You'll see how to visualize computations, interpret 2D and 3D vectors, and apply powerful concepts like rank, inverse, and span. From plotting vectors to reconstructing Einstein’s face with matrix compression, this is the ultimate beginner’s guide to linear algebra in MATLAB. ⏱️ Timestamps: 00:00 Why learn linear algebra in MATLAB 01:17 Vectors and visualizing vector math 10:47 Plotting tips and scalar multiplication 20:00 Matrix basics, identity, triangular matrices 25:00 Planes, span, and subspaces 35:00 Rank and column space intuition 43:00 Matrix inverses and pseudo-inverses 56:00...