Gradient Descent, Gradient Boosting.
various types of gradient descent algorithms: 1. Batch gradient descent — Computes the entire training set. Converges to the global minimum of the cost function by stepping in the direction of negative gradient. Computationally expensive for large datasets. 2. Stochastic gradient descent(SGD) —