Errata

Errata for Essential Math for AI

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The errata list is a list of errors and their corrections that were found after the product was released.

The following errata were submitted by our customers and have not yet been approved or disproved by the author or editor. They solely represent the opinion of the customer.

Color Key: Serious technical mistake Minor technical mistake Language or formatting error Typo Question Note Update

Version	Location	Description	Submitted by	Date submitted
Printed, PDF, ePub, Mobi, , Other Digital Version	Page Inverting Matrices Using Graphs Beginning	I'm very curious to have some references for the algorithm presented in the subsection titled "Inverting Matrices Using Graphs". Right now, only the algorithm is provided, with no further reference for more details	Steve Azzolin	Sep 11, 2023
	https://learning.oreilly.com/library/view/essential-math-for/9781098107628/ch04.html#:-:text=This%20 https://learning.oreilly.com/library/view/essential-math-for/9781098107628/ch04.html#:-:text=This%20is%20guaranteed%20to,is%20not%20too%20large%3A	I’m confused by a statement in Chapter 4 and wonder if it is not an error: This is guaranteed to decrease the gradient if the step size , also called the learning rate, is not too large: While I think this is true, since it is dealing with convex functions, and the gradient should decrease toward the minimum, but given the rest of the section on the learning rate, I suspect that the author meant to say that “it’s guaranteed to decrease the loss” or the “value of L(…)”… not the gradient of the loss.	Christopher Werner	Sep 15, 2023