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Advances in Health Sciences Education
In this editorial the editors reflect on issues raised by the special edition of the Journal on data science by asking the question: is data science in health professions education a 'science' as the term is generally understood? A series of criteria for science as a whole are applied to data science and the implications explored in the context of our ...
Rachel H, Ellaway, Patricia, O'Sullivan
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In this editorial the editors reflect on issues raised by the special edition of the Journal on data science by asking the question: is data science in health professions education a 'science' as the term is generally understood? A series of criteria for science as a whole are applied to data science and the implications explored in the context of our ...
Rachel H, Ellaway, Patricia, O'Sullivan
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The science of managing data science
Communications of the ACM, 2015Lessons learned managing a data science research team.
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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
One can hear "Data Science" defined as a synonym for machine learning or as a branch of Statistics. I shall argue that it is far more than that; it is the natural evolution of the technology of very large-scale data management to solve problems in scientific and commercial fields.
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One can hear "Data Science" defined as a synonym for machine learning or as a branch of Statistics. I shall argue that it is far more than that; it is the natural evolution of the technology of very large-scale data management to solve problems in scientific and commercial fields.
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Proceedings of the 2020 2nd International Conference on Blockchain Technology, 2020
Nowadays, the development of social information and network leads to the explosive growth of data. The increasing amount and diversity of data have also encouraged researchers to make business decisions by analyzing the big data generated. This has also caused the rapid development of the data science industry.
Jiameng Liu +5 more
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Nowadays, the development of social information and network leads to the explosive growth of data. The increasing amount and diversity of data have also encouraged researchers to make business decisions by analyzing the big data generated. This has also caused the rapid development of the data science industry.
Jiameng Liu +5 more
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Annual Review of Information Science and Technology, 2011
ion, resolving file/element naming and data protection issues, and resource allocation. The cloud provides technology as a service; the two major services are Software-as-a-Service (SaaS) and Infrastructureas-a-Service (IaaS) both of which can simplify data sharing.
Stacy Kowalczyk, Kalpana Shankar
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ion, resolving file/element naming and data protection issues, and resource allocation. The cloud provides technology as a service; the two major services are Software-as-a-Service (SaaS) and Infrastructureas-a-Service (IaaS) both of which can simplify data sharing.
Stacy Kowalczyk, Kalpana Shankar
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Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Technologists have a responsibility to develop Data Science and AI methods that satisfy fairness, accountability, transparency, and ethical requirements. This statement has repeatedly been made in recent years and in many quarters, including major newspapers and magazines. The technical community has responded with work in this direction.
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Technologists have a responsibility to develop Data Science and AI methods that satisfy fairness, accountability, transparency, and ethical requirements. This statement has repeatedly been made in recent years and in many quarters, including major newspapers and magazines. The technical community has responded with work in this direction.
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2018
In den letzten Jahrzehnten sind die Datensysteme immer schneller gewachsen und mit ihnen die Datensammlungen der Konzerne und Institute. Unter dem Begriff Big Data sind riesige Datenbanken entstanden, so dass deren Umgang in den Vordergrund ruckt. Neben sammeln, speichern und sichern steht die effektive Datenanalyse an erster Stelle.
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In den letzten Jahrzehnten sind die Datensysteme immer schneller gewachsen und mit ihnen die Datensammlungen der Konzerne und Institute. Unter dem Begriff Big Data sind riesige Datenbanken entstanden, so dass deren Umgang in den Vordergrund ruckt. Neben sammeln, speichern und sichern steht die effektive Datenanalyse an erster Stelle.
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Risk and Decision Analysis, 2018
This paper is a short introduction on (Big) Data Science and Intelligence for the RDA educational corner. Its purpose is to motivate a greater discussion of what is Big Data, how it is transforming the future of finance and what are the essential opportunities and concerns when using Big Data.
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This paper is a short introduction on (Big) Data Science and Intelligence for the RDA educational corner. Its purpose is to motivate a greater discussion of what is Big Data, how it is transforming the future of finance and what are the essential opportunities and concerns when using Big Data.
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Computational sustainability meets materials science
Nature Reviews Materials, 2021Carla P Gomes +2 more
exaly