Video details loaded
HomeMIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023Lecture 2 Part 1: Derivatives in Higher Dimensions: Jacobians and Matrix Functions
MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023

Video 3 of 10

Previous: Lecture 1 Part 2: Derivatives as Linear OperatorsNext: Lecture 2 Part 2: Vectorization of Matrix Functions

Lecture 2 Part 1: Derivatives in Higher Dimensions: Jacobians and Matrix Functions

1:13:57

Up Next

Lecture 2 Part 2: Vectorization of Matrix Functions

Continue

Description: Derivatives as linear operators give a fresh perspective on multivariable calculus, gradients, and Jacobian matrices; but we can now generalize to matrix functions.

Instructors: Alan Edelman, Steven G. Johnson