18.S096 | January IAP 2023 | Undergraduate

Matrix Calculus for Machine Learning and Beyond

Lecture 3 Part 2: Finite-Difference Approximations

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

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January IAP 2023
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