Data Science Thinking - Cao, Longbing
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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…mehr

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Produktbeschreibung
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.

Autorenporträt
Prof Longbing Cao is the Distinguished Chair in Artificial Intelligence (AI) and an Australian Research Council Future Fellow (professor) at the School of Computing, Macquarie University, Australia. Before joining Macquarie, he was the Founding Director of the Advanced Analytics Institute at the University of Technology Sydney and was a chief technology officer. Prof Cao is an internationally active research leader in AI, data science, and machine learning in both research and practice. He chaired many ACM and IEEE chapters and task forces and served as general chairs, program chairs, and steering committee chairs of prestigious international conferences. He has served as editors-in-chief and on editorial boards of core AI and data science journals. His significant research leadership and socioeconomic benefits have been recognized by an individual Australia's Eureka Prize and elected as an ACM Distinguished Scientist by ACM.