The No Bullshit Guide to Linear Algabra is a short textbook that covers linear algebra topics clearly and concisely. The book begins with a concise review of high school math topics and follows up with a detailed exposition of computational, geometrical, and theoretical aspects of linear algebra. The last three chapters of the book discuss exciting linear algebra applications like error computer graphics, correcting codes, Fourier analysis, and quantum mechanics.
This is the book you want to read if you’re taking a linear algebra course or if you need to learn linear algebra to develop machine learning applications. Once you understand linear algebra, you’ll be able to handle many advanced science topics. Check out the extended preview here (160 pages, PDF).