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Data Science in Practice

  • Alan Said
  • Vicenç Torra

Part of the Studies in Big Data book series (SBD, volume 46)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Alan Said, Vicenç Torra
    Pages 1-6
  3. Concepts

    1. Front Matter
      Pages 7-7
    2. Vicenç Torra, Alexander Karlsson, H. Joe Steinhauer, Stefan Berglund
      Pages 9-26
    3. Denio Duarte, Niclas Ståhl
      Pages 27-58
  4. Application Domains

    1. Front Matter
      Pages 59-59
    2. H. Joe Steinhauer, Alexander Karlsson
      Pages 61-78
    3. Alejandro Bellogín, Alan Said
      Pages 79-96
    4. Carl Anderson
      Pages 97-118
  5. Tools

    1. Front Matter
      Pages 119-119
    2. Vicenç Torra, Guillermo Navarro-Arribas, Klara Stokes
      Pages 121-132
    3. Juhee Bae, Göran Falkman, Tove Helldin, Maria Riveiro
      Pages 133-155
    4. Juhee Bae, Alexander Karlsson, Jonas Mellin, Niclas Ståhl, Vicenç Torra
      Pages 157-169
    5. Elio Ventocilla
      Pages 171-194
  6. Back Matter
    Pages 195-195

About this book

Introduction

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. 

Keywords

Data Science applications Big Data Intelligent Systems Computational Intelligence Applied Data Science

Editors and affiliations

  1. 1.University of SkövdeSkövdeSweden
  2. 2.University of SkövdeSkövdeSweden

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-97556-6
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-319-97555-9
  • Online ISBN 978-3-319-97556-6
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • Buy this book on publisher's site