Statistical Machine Learning

This chapter covers some of the statistical methods used for machine learning.

Most of statistics (at least, in this book) deals with inference, and specifically inductive inference: reasoning from particular examples to draw more general conclusions.

Machine learning is explicitly inductive: we construct a general model from a set of example data, and that general model is used to draw conclusions about new cases (features -> target; see terminology in Chapter 1).