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pro vyhledávání: '"Ling-Yong Wang"'
Autor:
Xiao Han T. Zeng, James C. Gibson, Daniel Kirsche, Jae Young Chung, Derrick C. Spell, Ling-Yong Wang, Bahador Nooraei, Richard T. Shomer
Publikováno v:
IEEE BigData
As machine learning becomes the driving force of the daily operation of companies within the information technology sector, infrastructure that enables automated, scalable machine learning is a core component of the systems of many large companies. V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884453c98daa038705c0468cd7179b1d
https://doi.org/10.1109/bigdata.2017.8258089
https://doi.org/10.1109/bigdata.2017.8258089
Autor:
Bahador Nooraei, Richard T. Shomer, Daniel Kirsche, Ling-Yong Wang, Derrick C. Spell, Kai-Chen Cheng, Jae Young Chung, Xiao Han T. Zeng, Jarrell Waggoner
Publikováno v:
IEEE BigData
In today's technology industry where machine learning has become essential, the effectiveness of algorithms ultimately depends on a robust data pipeline, and fast model prototyping and tuning require easy feature discovery and consumption. Careful ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2665ca2cf58a29f0d77aa402849287cc
https://doi.org/10.1109/bigdata.2016.7840776
https://doi.org/10.1109/bigdata.2016.7840776
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