Hrm. I find a lot of stuff on linear algebra not so intuitive or motivating. It's a bit harder to get through. A big motivator is the sheer scale of application

Hrm. I find a lot of stuff on linear algebra not so intuitive or motivating. It's a bit harder to get through. A big motivator is the sheer scale of application, along with calculus. Yeah it's a must for AI but really linear algebra underpins much much more and gives you awesome problem solving tools in general. As for intuition, a better approach may be to get 3 good books and cycle through them. Where one doesn't feel so intuitive at a given point, the other 2 might. They will explain things in a different way with different examples. Connecting the ideas across 3 sources will help it sink in. For a light intuitive introduction, give this a try: https://betterexplained.com/articles/linear-algebra-guide/ https://betterexplained.com/articles/linear-algebra-guide/ Maybe it's a little too light but the idea is important: voraciously grasp the ideas intuitively. If none are forthcoming, try to make one. Another Linear Algebra book, by Heffernan, was a 'third' book: http://joshua.smcvt.edu/linearalgebra/ http://joshua.smcvt.edu/linearalgebra/ It's free too. I think someone else has mentioned No Bull Linear Algebra. That's a cool book too. I had to put my learnings aside a few months ago but I made more progress this way than just following one book.