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Titlebook: Data Science Thinking; The Next Scientific, Longbing Cao Book 2018 Springer International Publishing AG, part of Springer Nature 2018 Data

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樓主: 契約
21#
發(fā)表于 2025-3-25 04:19:11 | 只看該作者
Data Science ApplicationsIn principle, data science can be applied to any application area or business domain. However, data science projects are intrinsically different from ordinary software development and IT projects.
22#
發(fā)表于 2025-3-25 07:45:15 | 只看該作者
Data ProfessionWe are lucky to be living in the age of analytics, data science, and big data. These three fields represent probably the most promising areas and future direction in the current Information and Communications Technology (ICT) and Science, Engineering and Technology (SET) sectors and disciplines.
23#
發(fā)表于 2025-3-25 11:48:06 | 只看該作者
24#
發(fā)表于 2025-3-25 19:08:59 | 只看該作者
Prospects and Opportunities in Data ScienceThere is continuing debate about how data science will evolve in the next 50 years and what it will ultimately look like.
25#
發(fā)表于 2025-3-25 23:57:50 | 只看該作者
Longbing CaoOffers a unique breadth of coverage, providing a comprehensive study of data science, technology and economy perspectives..Presents rich and deep thinking and insights of data-driven research, innovat
26#
發(fā)表于 2025-3-26 01:12:30 | 只看該作者
Data Analyticshttp://image.papertrans.cn/d/image/263071.jpg
27#
發(fā)表于 2025-3-26 06:57:32 | 只看該作者
28#
發(fā)表于 2025-3-26 09:54:21 | 只看該作者
29#
發(fā)表于 2025-3-26 15:16:07 | 只看該作者
30#
發(fā)表于 2025-3-26 16:51:39 | 只看該作者
2520-1859 deep thinking and insights of data-driven research, innovat.Thisbook explores answers to the fundamental questions driving the research,innovation and practices of the latest revolution in scientific, technologicaland economic development: how does data science transform existing science,technology
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