Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning.
Noise is as follows: Where f(x) is some underlying function on the independent variable x (input features) and y is the outcome. Here, epsilon is the noise in the data that has a functional relation with the input. Lets also assume that epsilon has a zero-mean and a standard-variance. The objective