Book contents
- Data Science in Context
- Reviews
- Data Science in Context
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Introduction
- Part I Data Science
- Part II Applying Data Science
- Part III Challenges in Applying Data Science
- Chapter 8 Tractable Data
- Chapter 9 Building and Deploying Models
- Chapter 10 Dependability
- Chapter 11 Understandability
- Chapter 12 Setting the Right Objectives
- Chapter 13 Toleration of Failures
- Chapter 14 Ethical, Legal, and Societal Challenges
- Recap of Part III: Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Chapter 8 - Tractable Data
from Part III - Challenges in Applying Data Science
Published online by Cambridge University Press: 29 September 2022
- Data Science in Context
- Reviews
- Data Science in Context
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Introduction
- Part I Data Science
- Part II Applying Data Science
- Part III Challenges in Applying Data Science
- Chapter 8 Tractable Data
- Chapter 9 Building and Deploying Models
- Chapter 10 Dependability
- Chapter 11 Understandability
- Chapter 12 Setting the Right Objectives
- Chapter 13 Toleration of Failures
- Chapter 14 Ethical, Legal, and Societal Challenges
- Recap of Part III: Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Summary
This first chapter of Part III begins a series of detailed discussions on each of the challenges implied by the rubric elements, beginning with generating, collecting, processing, storing, and managing data.
- Type
- Chapter
- Information
- Data Science in ContextFoundations, Challenges, Opportunities, pp. 111 - 117Publisher: Cambridge University PressPrint publication year: 2022