Catalog · Matrix Calculus for Machine Learning and Beyond Lecture 14 of 17 Lecture 7 Part 1: Derivatives of Random Functions ← Previous Lecture 6 Part 2: Calculus of Variations and Gradients of Functionals Next → Lecture 7 Part 2: Second Derivatives, Bilinear Forms, and Hessian Matrices ✓ Mark complete Materials Transcript (PDF) ↗ transcript