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.
