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Data Science in Context

Data Science in Context

Foundations, Challenges, Opportunities

Peter Norvig, Alfred Z. Spector, Chris Wiggins, Jeannette M. Wing

Cambridge University Press
Publication date : 2022-10-20

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Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.

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About the book

Author

Peter Norvig , Alfred Z. Spector , Chris Wiggins , Jeannette M. Wing

Imprint

Cambridge University Press

Collection

n.c

Publication date

2022-10-20

Pages

n.c

Print ISBN

9781009272209

Language

English

Ebook informations

EAN PDF

9781009272216

Price

£32.70

Copy count 0

Print count 0

File size 3533 Ko

Informations accessibility

EAN EPUB

9781009272193

Price

£32.70

Copy count 0

Print count 0

File size 9236 Ko

Informations accessibility

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About author(s)

Peter Norvig

Alfred Z. Spector

Chris Wiggins

Jeannette M. Wing

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