Penalty Term - L1 takes the absolute value of the coefficient and L2 takes the squared value of the coefficient. Effect - L1 shrinks some coefficients to 0, doing feature selection, L2 shrinks them to near 0 When to use? use L1 when their are lots of features, some of which are unimportant Use L2 when all features are equally important