Machine Learning, Data Science, Loss Function, Regression, Classification.
looks graphically? A quadratic function only has a global minimum. Since there are no local minima, we will never get stuck in one. Hence, it is always guaranteed that Gradient Descent will converge ( if it converges at all) to the global minimum. The MSE loss function penalizes the model for