Machine Learning, Data Science, Artificial Intelligence, Data, Deep Learning.
set can be computationally expensive. Let’s review the different types here: Batch Gradient Descent Batch Gradient Descent is the most straightforward type. It calculates the error for each example within the training set. After it evaluates all training examples, it updates the model parameters.