Linear Regression, Gradient Descent, Machine Learning, Deep Learning, Naem Azam.
constant and did the same for the partial derivative w.r.t. y where we took the derivative of the second term and treated x and z constant. Now let’s calculate the derivative of our loss function we’ll call J(θ) for simplicity. J(θ) is nothing but the MSE function. As we can see the predicted