Regularization is an approach for ensuring that models do not become too large or complex, and it is particularly useful when there is a large number of highly correlated features. Two widely-used regularization methods are known as the ridge and the LASSO (the least absolute shrinkage and selection operator). Which of the following statements correctly describe these two methods and their applications? | Financial Risk Manager Part 1 Quiz