Linear Regression, Gradient Descent, Machine Learning, Deep Learning, Naem Azam.
only one sample is processed at a time. For larger datasets, it can converge faster as it causes updates to the parameters more frequently Due to frequent updates, the steps taken towards the minima of the loss function have oscillations which can help to get out of local minimums of the loss