Data Science in Context: Foundations, Challenges, Opportunities
暫譯: 數據科學的背景:基礎、挑戰與機會
Spector, Alfred Z., Norvig, Peter, Wiggins, Chris
- 出版商: Cambridge
- 出版日期: 2022-10-20
- 售價: $1,750
- 貴賓價: 9.5 折 $1,663
- 語言: 英文
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1009272209
- ISBN-13: 9781009272209
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相關分類:
Data Science
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相關主題
商品描述
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.
商品描述(中文翻譯)
數據科學是我們現代世界的基礎。它支撐著數十億人每天使用的應用程式,提供新的工具、娛樂形式、經濟增長以及解決困難和複雜問題的潛在解決方案。這些機會伴隨著重大的社會後果,提出了關於數據質量、公平性、隱私和因果關係等問題的基本問題。在本書中,四位領先的專家傳達了數據科學的興奮與希望,並檢視了獲取其好處和減輕其危害的主要挑戰。他們提供了批判性評估數據科學所需成分和倫理考量的框架,並通過廣泛的應用範例進行說明。作者對這些複雜問題的廣泛探索將激勵數據科學從業者和學生,以及人文學者、社會科學家、科學家和政策制定者,研究和討論如何更有效且更具倫理地使用數據科學來改善我們的世界。