## Learning From Data – A Short Course: Problem 2.22

Page 74: When there is noise in the data, , where . If is a zero-mean noise random variable with variance , show that the bias-variance decomposition becomes We have: We split the above expression in two sub-expressions, in which: Together, we can derive that: