Statistical Learning and Data Science

Preface

Intr oduction

Machine learning, statistical learning, computer learning, data analysis, data mining, and

related data sciences often face the same issues but these domains have had quite sepa-

rate historical development. This book aims at presenting recent results w hich have been

established by some of the main founders of these domains. It gives also a fir st opportunity

to gather different approaches in crucial, up-to-date contexts: social networks, web mining,

data streams, texts, hig h-tech data , and other areas.

Part I: Statistical and Machine Learning

The first five chapters are dedicated to learning and the chapters are organized from