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pro vyhledávání: '"Simmons, Andrew J."'
Background: Meeting the growing industry demand for Data Science requires cross-disciplinary teams that can translate machine learning research into production-ready code. Software engineering teams value adherence to coding standards as an indicatio
Externí odkaz:
http://arxiv.org/abs/2007.08978
Data analysts often discover irregularities in their underlying dataset, which need to be traced back to the original source and corrected. Standards for representing data provenance (i.e. the origins of the data), such as the W3C PROV standard, can
Externí odkaz:
http://arxiv.org/abs/1812.05804
Autor:
Khalajzadeh, Hourieh, Simmons, Andrew J., Abdelrazek, Mohamed, Grundy, John, Hosking, John, He, Qiang
Publikováno v:
In Journal of Computer Languages June 2020 58
Publikováno v:
ACM International Conference Proceeding Series; 12/4/2018, p23-26, 4p