Machine Learning, Gradient Descent, Stochastic Gradient, Data Science, Learning Curve.
characteristic that differentiates Stochastic Gradient Descent (SGD) from the standard Gradient Descent is the selection of samples at each iteration. In SGD, instead of using the entire dataset to compute the gradient of the loss function, a single sample is randomly selected in each iteration to