question target distribution
In the lectures, we take a deterministic target function and add noise to it to make a target distribution. This is what we have done in the programming assignment too. But is it advisable to introduce noise in a data set which is handed to you? Maybe the data set handed over to you already has noise, maybe not?
One more question, in the lecture, we said noise = y  f(x) ,
Noisy target = deterministic target f(x) = E(yx) + Noise (y  f(x) )
I do not get the above equation, shouldn't
Noisy target = deterministic target + Noise
Noisy target = f(x) + Noise ( y  f(x) )
Noisy target = y
This is really confusing me.
