Results 11 to 20 of about 28,511,988 (353)
Accelerating AI for science: open data science for science [PDF]
Royal Society Open ScienceAspirations for artificial intelligence (AI) as a catalyst for scientific discovery are growing. High-profile successes deploying AI in domains such as protein folding have highlighted AI’s potential to unlock new frontiers of scientific knowledge ...
Neil D. Lawrence, Jessica Montgomery
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FACETS, 2019 Even though it has only entered public perception relatively recently, the term "data science" already means many things to many people. This chapter explores both top-down and bottom-up views on the field, on the basis of which we define data science as "a unique blend of principles and methods from analytics, engineering, entrepreneurship and ...
Paul McNicholas
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Patterns, 2020 Most data science is about people, and opinions on the value of human data differ. The author offers a synthesis of overly optimistic and overly pessimistic views of human data science: it should become a science, with errors systematically studied and ...
DL Oberski
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ISPRS International Journal of Geo-Information, 2020 The field of data science has had a significant impact in both academia and industry, and with good reason [...]
Fernando Bacao +2 more
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Population Data Science: The science of data about people [PDF]
International Journal of Population Data Science, 2018 Introduction Societal and individual benefits of data-intensive science are substantial but raise challenges of balancing individual privacy and public good, while building appropriate governance and socio-technical systems to support data-intensive ...
Kim McGrail, Kerina Jones
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Data science: a game changer for science and innovation [PDF]
International Journal of Data Science and Analytics, 2021 AbstractThis paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society at large in the coming years, including ethical problems in managing human behavior data and considering the quantitative expectations of data science economic impact.
Grossi V +5 more
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Communications of the ACM, 2022 Given the complexity of data science projects and related demand for human expertise, automation has the potential to transform the data science process.
De Bie, Tijl +5 more
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DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation [PDF]
International Conference on Machine Learning, 2022 We introduce DS-1000, a code generation benchmark with a thousand data science problems spanning seven Python libraries, such as NumPy and Pandas. Compared to prior works, DS-1000 incorporates three core features.
Yuhang Lai +9 more
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ChatGPT for Teaching and Learning: An Experience from Data Science Education [PDF]
Conference on Information Technology Education, 2023 ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios.
Yong Zheng
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A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism [PDF]
Annual Review of Biomedical Data Science, 2023 Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44 children. Like many neurological disorder phenotypes, the diagnostic features are observable, can be tracked over time, and can be managed or even eliminated ...
Peter Y. Washington, D. Wall
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