Beitrag Matrix Calculus for Machine Learning and Beyond! — a free ebook from MIT.

Matrix Calculus for Machine Learning and Beyond! — a free ebook from MIT. This is the 2025 MIT textbook by Alan Edelman, Steven G. Johnson, and Paige Bright. The book directly connects matrix calculus to modern machine learning. Inside: *   Derivatives of matrices and vectors *   Jacobian and Hessian *   Matrix decompositions *   Optimization *   Differentiation in reverse mode *   Backpropagation of error *   Automatic differentiation *   Derivatives through ODEs *   Problems focused on machine learning This is a comprehensive mathematical bridge between linear algebra, calculus, optimization, backpropagation, and machine learning. Free ebook: https://geni.us/Matrix-Calculus-Book