Gradient Descent, Linear Regression, Machine Learning.
parameter m and basically, ignore what is going on with b, or we can say its 0 and vice versa. To take partial derivatives we are going to use a chain rule. We use it when we need to take a derivative of a function that contains another function inside. The chain rule says that we should take a