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 9 - Building and Deploying Models
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 chapter focuses on the challenges that may occur when applying statistical, machine learning, and operations research techniques to new data science problems. It contains discussions of theoretical, inductive bias and scale-related challenges.
- Type
- Chapter
- Information
- Data Science in ContextFoundations, Challenges, Opportunities, pp. 118 - 125Publisher: Cambridge University PressPrint publication year: 2022