Gradient Descent, Data Science, Data Visualization, Deep Learning, Machine Learning.
training models. SGD is particularly useful when dealing with large datasets or complex models, where computing the gradient over the entire dataset may be impractical or inefficient. Here are some situations where SGD may be a good choice: Large datasets: When working with large datasets,