Apologies for the confusion.
Noisy target and deterministic target refer to a specific target value (for example at a specific point x). So you have a data point (x,y).
If y=f(x), we say that y is a deterministic
target and f is a deterministic
target function.
If for the same value of x you may observe different values of y (the example in the book: several people may have the same income but some may default on credit debt and some may not), then we say that y is a noisy
target  its value is not deterministically determined given x. The way we model this situation is using a target distribution P[yx]. So P[yx] is the distribution of the (noisy) target, and we call it the
target distribution.
Hope this helps.
Quote:
Originally Posted by ntvy95
Hello, I am confused by the meaning of these four words:
Noisy Target vs Target Distribution
I understand that a target distribution is a probability distribution, but how about noisy target? What is a noisy target? A value or a function or a probability distribution?
Deterministic Target vs Deterministic Target Function
Same above, I understand that a deterministic target function is a function, but how about deterministic target? A value or a function?
And...
Is y here a value or a function?
I am very confused...
Thank you very much for your time spending on here.
