[rdrey]

I previously attempted Andrew Ng's old course, but didn't complete the tutorials. Now I would start in this order:

Watch the course.fast.ai lectures quickly, just to see a lot of practical ML/AI applications. You'll see how effective you can be just by knowing the tools with very little math background.

Next I'd look at the NEW Andrew Ng introduction on Coursera. It is much more approachable than his first course. You might still feel a little overwhelmed by a few equations, but then you'll implement them yourself in numpy. (And the ipython/jupyter notebooks are really well written, walking you through every step.)