Gradient Descent, Data Science, Data Visualization, Deep Learning, Machine Learning.
SGD stands for . It is an optimization algorithm used to minimize the cost function of a machine learning model. The key difference between SGD and Batch Gradient Descent (BGD) is that instead of using the entire dataset to compute the gradient at each step, SGD randomly selects a single data point