数据科学实践

English | PDF,EPUB | 2018 (2019 Edition) | 199 Pages | ISBN : 3319975552 | 8.18 MB

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.

这本书通过数据科学的视角来探讨大数据、人工智能、机器学习和商务智能。我们已经习惯了在主流媒体中看到这些术语被反复提及。然而，我们对它们真正含义的理解往往仍然有限。本书提供了广泛使用的数据科学领域的术语和方法的一般概览，并详细介绍了其背后的理论、模型及应用场景。分为三个主要部分，它涵盖了什么是数据科学；如何以及在哪里使用它；以及如何利用现代开源软件来实现它。这本书为所有寻求深入了解数据科学各个方面的运作方式及其如何被应用于获得竞争优势的学生、从业者、开发人员和管理者提供了一个必备指南。

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