Regularization- Time to penalize

The method of regularization is very popular in the field of machine learning however you will see that many people are still not using it. One reason I can think of is because of the complexity behind the whole concept of the regularization so I thought to make it simple for all of us. In this article I am going to try to explain the regularization in a way that it is easy to understand and easy to use. Basically while I explain the concept I will give practical details t on how to implement regularization in R and SAS. In very simple terms Regularization refers to the method of preventing overfitting, by explicitly controlling the model complexity.