Date science thinking : the next scientific, technological and economic revolution
著者
書誌事項
Date science thinking : the next scientific, technological and economic revolution
（Date analytics / Longbing Cao, Philip S. Yu, series editores）
Springer, c2018
大学図書館所蔵 全3件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists?
Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.
目次
1 The Data Science Era.- 2 What is Data Science.- 3 Data Science Thinking.- 4 Data Science Challenges.- 5 Data Science Discipline.- 6 Data Science Foundations.- 7 Data Science Techniques.- 8 Data Economy and Industrialization.- 9 Data Science Applications.- 10 Data Profession.- 11 Data Science Education.- 12 Prospects and Opportunities in Data Science.
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