Data science in context : foundations, challenges, opportunities
(Book)
Author
Contributors
Published
Cambridge : Cambridge University Press, 2023.
ISBN
1009272209, 9781009272209
Physical Desc
xvi, 316 pages : illustrations ; 25 cm
Status
Copies
Location | Call Number | Status |
---|---|---|
Framingham State - Main | QA76.9 .D343 S64 2023 | In Transit |
More Details
Published
Cambridge : Cambridge University Press, 2023.
Format
Book
Language
English
ISBN
1009272209, 9781009272209
Notes
Bibliography
Includes bibliographical references (pages 282-305) and index.
Description
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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Citations
APA Citation, 7th Edition (style guide)
Spector, A. Z., Norvig, P., Wiggins, C. H., & Wing, J. M. (2023). Data science in context: foundations, challenges, opportunities . Cambridge University Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Alfred Z., Spector et al.. 2023. Data Science in Context: Foundations, Challenges, Opportunities. Cambridge University Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Alfred Z., Spector et al.. Data Science in Context: Foundations, Challenges, Opportunities Cambridge University Press, 2023.
MLA Citation, 9th Edition (style guide)Spector, Alfred Z.,, Peter Norvig, Chris H. Wiggins, and Jeannette Marie Wing. Data Science in Context: Foundations, Challenges, Opportunities Cambridge University Press, 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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