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I have done the deeplearning.ai course on deep learning. But I cannot Understand equations like
minGmaxDV(D,G)=Ex∼pdata(x)[logD(x)]+Ez∼pz(z)[log(1−D(G(z)))]
What kind of Maths am I am supposed to learn? I know Calculus basic Multivariable Calculus and Linear Algebra. So should I learn Probability (Advance probability maybe)?
Mathematical expectations are a concept from probability theory. Expressions like $E_x[...]$ denote conditional expectations and I think you will have trouble understanding Machine Learning concepts without understanding conditional expectations. (Understanding them as a mathematical concept, not on an intuitive level).
My recommendation is that you look for a beginner's course in probability theory to get a grasp of the following concepts:
There are probably courses designed specifically for people interested in Machine Learning. Have fun!
As Elias mentioned, the expectations are related to random variables and you would be good to go if you know about conditional probability, multivariate probability, joint and marginal distributions. I would suggest you take a course that has a syllabus on the lines of https://secure.oregonstate.edu/ap/cps/documents/view/134169.
