@ZachWeinersmith If you want to read one cover to cover I can recommend https://linear.axler.net/
It also depends a bit on what you want to get out of it. Axler is good to get the more abstract perspective on linear algebra.
If you just want a concrete understanding of what an SVD does to a grid of numbers, it's probably not the best one.
I think standard textbooks like Strang focus too much on row reduction as a building block and too little on the idea of a matrix as a transformation of space (which is the most intuitive starting point for me).
I don't know of any textbook that does that but (if you'll forgive the plug) I wrote a long-from exploration of PCA that takes that perspective and touches on most aspects of concrete linear algebra