Sgd, Machine Learning, Stochastic Gradient.
Stochastic Gradient Descent (SGD) is a widely used optimization algorithm for machine learning models. It is a variant of the gradient descent algorithm that updates the model parameters on a small random subset of the training data, making it much faster and scalable for large datasets. In this