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.

本书通过数据科学的视角来探讨大数据、人工智能、机器学习和商业智能。我们已经习惯于在主流媒体上一次又一次地提到这些术语。然而，我们对它们的实际含义的理解往往仍然有限。本书对数据科学中广泛使用的术语和方法进行了总体概述，并详细介绍了基础理论、模型和应用场景。本书分为三个主要部分，阐述了什么是数据科学；如何以及在哪里使用数据科学；以及如何使用现代开源软件实现数据科学。本书为所有学生、从业人员、开发人员和管理人员提供了现代数据科学的基本指南，使他们能够更深入地了解数据科学的各个方面是如何运作的，以及如何运用它们来获得竞争优势。