Lecture 3 Part 2: Finite-Difference Approximations

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MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023
Instructors: Alan Edelman, Steven G. Johnson

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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

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