Data Science in Context: Foundations, Challenges, Opportunities
By: and and and
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- Synopsis
- 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.
- Copyright:
- 2023
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781009272193
- Related ISBNs:
- 9781009272209
- Publisher:
- Cambridge University Press
- Date of Addition:
- 10/04/22
- Copyrighted By:
- Alfred Z. Spector, Peter Norvig, Chris Wiggins, and Jeannette M. Wing
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- by Alfred Z. Spector
- by Peter Norvig
- by Chris Wiggins
- by Jeannette M. Wing
- in Nonfiction
- in Computers and Internet