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Figures
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Preface
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Reviews
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Chapter 17 - Regulation
- from Part IV - Addressing Concerns
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- 20 October 2022, pp 244-254
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Chapter 15 - Societal Concerns
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- 20 October 2022, pp 231-236
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Acknowledgments
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Recap of Part II: Applying Data Science
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- 20 October 2022, pp 107-108
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Part I - Data Science
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Chapter 18 - Research and Development
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- 20 October 2022, pp 255-258
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Chapter 16 - Education and Intelligent Discourse
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- 20 October 2022, pp 237-243
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Part II - Applying Data Science
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- 20 October 2022, pp 45-108
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Chapter 10 - Dependability
- from Part III - Challenges in Applying Data Science
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- 20 October 2022, pp 126-153
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Copyright page
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- 20 October 2022, pp iv-iv
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Index
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- 20 October 2022, pp 306-316
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Chapter 12 - Setting the Right Objectives
- from Part III - Challenges in Applying Data Science
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- 20 October 2022, pp 187-205
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Chapter 13 - Toleration of Failures
- from Part III - Challenges in Applying Data Science
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- 20 October 2022, pp 206-211
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Chapter 19 - Quality and Ethical Governance
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- 20 October 2022, pp 259-262
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Contents
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Chapter 14 - Ethical, Legal, and Societal Challenges
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- 20 October 2022, pp 212-226
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Chapter 2 - Data Science Is Transdisciplinary
- from Part I - Data Science
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- 20 October 2022, pp 29-36
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