Linear Regression, Machine Learning, Introduction, Gradient Descent.
w and b and we call this function the loss function (J). It is sometimes also referred to as the objective function, the cost function, or the error function. Mean squared error as loss function depending on parameters w and b If we want to find the ‘best’ model, in the sense that the error is