You'll learn about different regression models, how to train these models in R, how to evaluate the models you train and use them to make predictions

In this chapter we introduce the concept of regression from a machine learning point of view

While more sophisticated regression techniques manage some of these issues automatically, it's important to be aware of them, in order to understand which methods best handle various issues -- and which issues you must still manage yourself

Now that we have mastered linear models, we will begin to look at techniques for modeling situations that don't meet the assumptions of linearity