Introduction
Part I: Foundational Ideas
1: An Overview of Machine Learning
2: Essential Statistics
3 MEASURING PERFORMANCE
4 BAYES’ RULE
5 CURVES AND SURFACES
6 INFORMATION THEORY
PART II BASIC MACHINE LEARNING
Introduction
p 27 ,
1: An Overview of Machine Learning
2: Essential Statistics
3 MEASURING PERFORMANCE
4 BAYES’ RULE
5 CURVES AND SURFACES
6 INFORMATION THEORY