Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
algorithm learns to take an input x and produce an output value ŷ. The mapping from x to ŷis chosen to minimize mean squared error. But how did we choose MSE as a criterion for linear regression. Let us arrive at the solution from the point of view of maximum likelihood estimation. Instead of