登入
選單
返回
Google圖書搜尋
Data Science in Context
Alfred Z. Spector
Peter Norvig
Chris Wiggins
Jeannette M. Wing
其他書名
Foundations, Challenges, Opportunities
出版
Cambridge University Press
, 2022-10-20
主題
Business & Economics / Entrepreneurship
Business & Economics / Industries / Manufacturing
Computers / Database Administration & Management
Computers / Programming / Algorithms
Language Arts & Disciplines / Library & Information Science / General
Mathematics / General
Mathematics / Discrete Mathematics
Mathematics / Probability & Statistics / General
ISBN
1009272209
9781009272209
URL
http://books.google.com.hk/books?id=SaKIEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.