This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data
Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our
understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches
used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios.
Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented
using modern open source software. The book offers an essential guide to modern data science for all students, practitioners,
developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be
employed to gain a competitive advantage.