Optimization Algorithms, Optimization Techniques, Machine Learning, Deep Learning, Convex Optimization.
difference represents the error in the prediction given by: Error (Residuals) from the Linear Regression Model [Image by author] for any ith data point. Now I claim that this best fit-line will have the minimum error for prediction (among all possible infinite random “poor-fit” lines). This total