Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning.
words, we are trying to reduce variance of the system by breaking its ability to tightly fit f_cap(x) to “f(x) + epsilon”. As an analogy, this is like saying, if the system is able to recognize the background ‘ticks’ too very well, then, we shall add more controlled “hums” into the background in