Chapter 1: Introduction

In this chapter, we introduce the problem of classification and the fundamental concepts of pattern recognition. We use Bayes’ decision rule:

$$\delta^*(x)=\arg\min_j\sum_iL(j,i)\,p(i\mid x)\,.$$

Probability

…text on probability…

Decision Boundaries

…text on decision boundaries…