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HomeMIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023Lecture 3 Part 2: Finite-Difference Approximations
MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023

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Lecture 3 Part 2: Finite-Difference Approximations

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Lecture 4 Part 1: Gradients and Inner Products in Other Vector Spaces

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Description: Finite difference approximations are useful tools, e.g. to check analytical derivatives, but lead to numerical analysis to understand truncation and roundoff errors.

Instructors: Alan Edelman, Steven G. Johnson