Challenge

Supervised Learning - Prediction Week 3 Challenge

Gradient Descent:


Gradient Descent is an algorithm that solves optimization problems using first-order iterations. Since it is designed to find the local minimum of a differential function, gradient descent is widely used in machine learning models to find the best parameters that minimize the model's cost function

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