Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
randomize the input such that each batch of training data contains a good balance of different class of objects and each sample are independent of the other. We cannot predict what we may see next from the previous samples. We called this i.i.d. (Independent and identically distributed). We want