>>106022459 (OP)Machine learning Math is extremely simple.
My recommendation is the following:
strong bases in statistics and probability, focus on this one, learn the basic concepts of conditional probability, probability functions and at least how to simulate or sample a distribution.
Linear algebra, just understanding how a linear transformation works is practically enough.
From numerical methods learn the newton method and stochastic gradient
with these you can easily build a machine learning algorithm
Deeplearning is not more than a glorified non-linear complicated function where the parameters are find by optimization methods.
Actually the maths behind ML aren't even hard, whoever says the opposite is probably a little bit behind the IQ curve and even those can learn them