Linear algebra

Recommended

Strang, G. Linear Algebra and Learning from Data; Wellesley-Cambridge press: Wellesley, 2019.
Strang, G. Introduction to Linear Algebra, Sixth edition.; Wellesley-Cambridge Press: Wellesley, MA, 2023.
Strang, G. YouTube Playlist MIT 18.06 Linear Algebra, Spring 2005

Gilbert Strang is obsessed with the 'four fundamental subspaces' and by the time you finish his video lectures linked above, you will be, too. His books are idiosyncratic: at the outset he will tell you the fundamental ideas that lie at the heart of a topic, but this may get daunting at times. I would recommend starting with his video lectures and the 2023 introduction book. The 2019 book is useful for concise, but at times terse, ideas on topics from machine learning.

N. Johnston, Advanced Linear and Matrix Algebra (Springer International Publishing, Cham, 2021).
N. Johnston, Introduction to Linear and Matrix Algebra (Springer International Publishing, Cham, 2021).

Two useful books, with lots of illustrations and clear examples.

The Matrix Cookbook by Kaare Brandt Petersen and Michael Syskind Pedersen

Horn, R. A.; Johnson, C. R. Matrix Analysis, 2nd ed.; Cambridge University Press: Cambridge ; New York, 2012.
Garcia, S. R.; Horn, R. A. A Second Course in Linear Algebra; Cambridge mathematical textbooks; Cambridge University Press: Cambridge ; New York, NY, 2017.

First one is the canonical reference and the second one is a neat textbook.