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…