Sgd, Machine Learning, Stochastic Gradient.
The standard gradient descent algorithm updates the model parameters after computing the gradient over the entire training data. However, in practice, computing the gradient over the entire dataset is computationally expensive and impractical for large datasets. SGD addresses this issue by randomly