Did you mean to write "3D Math Primer for Graphics and Game Development" [1]? If you did, I agree 100%. I got a lot out of this book and was able to put it to good use for several projects.
[1] https://www.amazon.com/Math-Primer-Graphics-Game-Development...
The really important concepts for ML are least squares, eigenvalues and vectors, and SVD. Those concepts are not very relevant to game programming.
Well, least squares can be solved with projection, which is relevant for converting between coordinate spaces. But game dev isn't going to give you that intuition.
So while the book in question might not be the best resource, it probably is a better starting point than the linked doc.
Thanks for your comment, it made me feel less alone.
https://www.mheducation.com/highered/product/college-algebra...
"In the following four chapters, the basic algebraic structures (groups, rings, fields, vectorspaces) are reviewed, with a major emphasis on vector spaces. Basic notions of linear algebra such as vector spaces, subspaces, linear combinations, linear independence, [...], dual spaces,hyperplanes, transpose of a linear maps, are reviewed."
If anyone needs to start even earlier than this, I've actually found "3D Math Basics for Graphics and Game Development" to be a good true intro for linear algebra-related stuff. I think this would probably hold even if your primary interest is something other than graphics/game dev. Some of the text in that book's intro is a little cringey with its reliance on kind of juvenile game references, but I didn't find that sort of writing continuing during the actual text. So just push past that stuff.
I got a copy of it to act as a refresher before diving into Real-Time Collision Detection since it's been quite a long time since formal math for me (as in, high school, because I'm self-taught in CS). I've managed to make up a lot of ground by working hard and finding classes to audit online (Strang's linear alg course on OCW is a good one), but I have found that depressingly few math texts which claim to be "introductory" are actually truly introductory.
This isn't a slight against the linked work, I absolutely love when profs make resources such as this freely available.
"How to Prove It" and "Book of Proof" are also great intros to formal math, if less immediately practical.