MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023 - Lecture 7 Part 2: Second Derivatives, Bilinear Forms, and Hessian Matrices

MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023 Instructors: Alan Edelman, Steven G. Johnson View the complete course: https://ocw.mit.edu/courses/18-s096-matrix-calculus-for-machine-learning-and-beyond-january-iap-2023/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE Description: First derivatives are linear operators, so second derivatives are bilinear forms, sometimes called “Hessians” (especially for scalar-valued functions of column vectors, where the Hessian is simply a symmetric matrix). License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.