Optimization Algorithms, Optimization Techniques, Machine Learning, Deep Learning, Convex Optimization.
Error across all the data points is expressed as the Mean Squared Error (MSE) Function, which will be minimum for the best-fit line. The MSE Loss (Cost) Function to be minimized in Linear Regression [Image by author] where N = Total no. of data points in the dataset (in the current case, it is 3)