For noisy targets, are we still trying to learn the deterministic f(x)?
i believe linear regression algorithm can be used for noisy targets, yet it appears to be estimating f(x), I guess the mean of y given X, so how is that helping us to learn P(yX)?
I believe the professor said that for noisy targets we aim to learn P(yX) as our target function. Did i misunderstand?
