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Autor:
Bravo-Rocca, Gusseppe, Liu, Peini, Guitart, Jordi, Dholakia, Ajay, Ellison, David, Falkanger, Jeffrey, Hodak, Miroslav
Machine Learning (ML) is more than just training models, the whole workflow must be considered. Once deployed, a ML model needs to be watched and constantly supervised and debugged to guarantee its validity and robustness in unexpected situations. De
Externí odkaz:
http://arxiv.org/abs/2111.03003
Autor:
Bravo-Rocca, Gusseppe, Liu, Peini, Guitart, Jordi, Dholakia, Ajay, Ellison, David, Falkanger, Jeffrey, Hodak, Miroslav
Publikováno v:
In Expert Systems With Applications 15 September 2022 202