This is a question for machine learning theory, please give a rigorous proof with maths for : In class, we assumed an algorithm in the CN model was given the exact noise rate n as input. Prove

that this assumption is without loss of generality. Namely, given a CN algorithm that knows n we can

convert it to one that does not know n$.$