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For sure work through a linear algebra book, a stats book and some probability theory. Some basic calculus as well. Work through all of the simple examples. Just like programming..

That level of math helps to model the problem domain. The part of modeling the problem is to see that everything in ML is a graph. So you can look at it from that point of view as well, at least computational wise. Mapping the math to the graph is the heart of it all.



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