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中图分类法:
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TP311.13 版次： |
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著者:
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Spector, Alfred Z., |
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题名:
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Data science in context : [ foundations, challenges, opportunities /] / , |
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出版发行:
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出版地： Cambridge, UK : 出版社： Cambridge University Press, 出版日期： 2023. |
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载体形态:
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xvi, 316 pages : illustrations ; 25 cm |
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内容提要:
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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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主题词:
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Data mining. |
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主题词:
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Big data. |
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主题词:
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Quantitative research. |
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主要责任者:
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Norvig, Peter, Norvig, Peter, |
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主要责任者:
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Wiggins, Chris H., Wiggins, Chris H., |
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主要责任者:
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Wing, Jeannette Marie, Wing, Jeannette Marie, |