Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning.
of the Neural Nets is to learn the underlying function f(x) to predict the outcomes. As you may guess, since there is a noisy functional relation ‘epsilon’ between the underlying function f(x) and the outcome, the probability of the Neural Nets to learn about the noise is high. The trick of the