Machine Learning, Data Science, Loss Function, Regression, Classification.
parameter Decide on the learning rate and run the weight update rule for a fixed number of iterations 1. Squared Error Loss Squared Error loss for each training example, also known as L2 Loss, is the square of the difference between the actual and the predicted values: The corresponding cost