Fr. 59.50

Data Science Ethics - Concepts, Techniques, and Cautionary Tales

English · Paperback / Softback

New edition in preparation, currently unavailable

Description

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This book examines a variety of different concepts related to data science ethics and techniques that can help with, or lead to, ethical concerns, whilst featuring cautionary tales that illustrate the importance and potential impact of data science ethics.

List of contents










  • Foreword

  • Preface

  • 1: Introduction to Data Science Ethics

  • 2: Ethical Data Gathering

  • 3: Ethical Data Preprocessing

  • 4: Ethical Modelling

  • 5: Ethical Evaluation

  • 6: Ethical Deployment

  • 7: Conclusion



About the author










David Martens is Professor of Data Science at the Department of Engineering Management, University of Antwerp, Belgium. He teaches data mining and data science and ethics to postgraduate students studying business economics and business engineering. In his work, David has collaborated with large banks, insurance companies and telco companies, as well as with various technology startups. His research has been published in high-impact journals and has received several awards.


Summary

This book examines a variety of different concepts related to data science ethics and techniques that can help with, or lead to, ethical concerns, whilst featuring cautionary tales that illustrate the importance and potential impact of data science ethics.

Additional text

This is an important and timely book for data scientists, written in a clear and engaging way. Motivated by many relevant examples, the author successfully de-mystifies data ethics lingo and presents a comprehensive view of ethical considerations during the entire data science lifecycle.

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