edit: https://www.amazon.com/No-bullshit-guide-linear-algebra/dp/0...
I also have a book on linear algebra, which would be good for people doing more machine learning or data sciency stuff: https://www.amazon.com/dp/0992001021/noBSLA
Both books are perfect for math haters, since they start out with a review of high school math.
Savov: https://www.amazon.com/No-bullshit-guide-linear-algebra/dp/0...
Strang: https://www.amazon.com/Linear-Algebra-Learning-Gilbert-Stran...
Klein: https://www.amazon.com/Coding-Matrix-Algebra-Applications-Co...
I think the pacing and exercises in the above Strang book are great.
https://www.amazon.com/No-bullshit-guide-linear-algebra/dp/0...
[1] https://www.amazon.com/dp/0992001005/noBSmathphys (high school math review, mechanics, and calculus) [2] https://www.amazon.com/dp/0992001021/noBSLA (linear algebra) [3] https://www.amazon.com/dp/099200103X/noBSmath (high school math review)
There is also the No Bullshit Guide to Linear Algebra https://www.amazon.com/dp/0992001021/ Extended preview: https://minireference.com/static/excerpts/noBSguide2LA_previ...
Both come with a review of high school math topics, which may or may not be useful for you, depending on how well you remember the material. Many of the university-level books will assume you know the high school math concepts super well.
One last thing, I highly recommend you try out SymPy which is a computer algebra system that can do a lot of arithmetic and symbolic math operations for you, e.g. simplify expressions, factor polynomials, solve equations, etc. You can try it out without installing anything here https://live.sympy.org/ and this is a short tutorial that explains the basic commands https://minireference.com/static/tutorials/sympy_tutorial.pd...
At some point you'll need math, I recommend https://www.amazon.com/No-bullshit-guide-linear-algebra/dp/0... (I actually started here), and for calculus, "No BS Guide to Math/Physics" by the same author. These books both include a review of high school math (i.e. trig) which i needed. For DiffEq I currently recommend Logan's "A First Course in Differential Equations", this is where I am now and I found this the most gentle after trying several textbooks recommended from r/math. Context: I am an adult with an engineering degree from 20 yrs ago.