Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as ...

Finding parameter values that minimize or maximize a specified objective function is the primary objective of optimization in the context of ML. This function, often termed a cost or loss function, ...

In the NeurIPS 2022 Outstanding Paper Gradient Descent: The Ultimate Optimizer, MIT CSAIL and Meta researchers present a novel technique that enables gradient descent optimizers such as SGD and Adam ...

Optimization in machine learning is the process of updating weights and biases in the model to minimize the model’s overall loss. While backpropagating in the network, the weights and biases are ...