Consider a random experiment E with sample space S and the probability measure P.
Assume that all events are measurable.
Let X1, X2, X3,...., Xn are random variables over S.
Now machine learning is trying to approximate f.
My doubt is what is f here? Is it P? Is it E? If not both, then what is f in this context?