Many of the suggestions so far are assuming you have taken undergraduate linear algebra and calculus. I'd start with those two subjects, you really can't build a foundational understanding of modern AI techniques without them.
i did linear algebra and calculus using strang and spivak textbooks. Those were classes i enjoy the most. But most of that stuff has atrophied from my brain over the years, do you recommend redoing those courses fast or can i learn when i need it on demand basis.
Oh, most recommendations here assume stem college math knowledge. You should become comfortable with calculus, linear algebra, and probability/stats - those are the foundations of ML.
NationalPark|3 years ago
mythhouse|3 years ago
p1esk|3 years ago