Machine Learning, Regression, Data Science.
gradient descent such as: batch — Uses whole batch of training data at every step; so its slow stochastic — Picks a random training data instance and calculate the gradient for that single instance so its faster. This can never reach optimal/global minima but can bounce out of local minima. mini