Batch Gradient Descent computes the gradient of the cost function with respect to the parameters for the entire training dataset. This means that every update of the model's parameters is based on the ...

Gradient Descent is an optimization algorithm used primarily in machine learning and statistics to minimize a function, typically a loss or cost function in the context of machine learning models. The ...