Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
Salvato in:
| Autore principale: | |
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| Altri autori: | |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Birmingham :
Packt Publishing
2023.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781805123958.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine Learning Security with Azure, Best practices for assessing, securing, and monitoring Azure Machine Learning workloads, Georgia Kalyva, [Foreword by George Kavvalakis], Birmingham, Packt Publishing, 2023, 1 vol. (310 p.), 978-18-0512-048-3 |