Learning from Data
Concepts, Theory, and Methods
Chapter One
INTRODUCTION
1.1 Learning and statistical estimation
1.2 Statistical dependency and causality
1.3 Characterization of variables
1.4 Characterization of uncertainty
1.5 Predictive learning versus other data analytical methodologies
Where observation is concerned, chance favors only the prepared mind.
Louis Pasteur
This chapter describes the motivation and reasons for the growing interest in
methods for learning (or estimation of empirical dependencies) from data and
introduces informally some relevant terminology.
Section 1.1 points out that the problem of learning from data is just one part of the
general experimental procedure used in different fields of science and enginee ... read full excerpt from Learning from Data: Concepts, Theory, and Methods ebook
