Gradient Descent, Data Science, Data Visualization, Deep Learning, Machine Learning.
data is available in a stream, and the model needs to be updated in real-time. In such cases, SGD can be used to update the model parameters using one data point at a time, making it ideal for online learning scenarios. Regularization: SGD can also be used to implement regularization techniques