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240412s2023||||uk ||||g|||| ||||||eng d |
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|a 9781805123958
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|a (OCoLC)1429885216
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|a ABES
|b fre
|e AFNOR
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0 |
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|a eng
|2 639-2
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| 100 |
1 |
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|a Kalyva, Georgia.
|4 aut.
|e Auteur
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| 245 |
1 |
0 |
|a Machine Learning Security with Azure :
|b Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
|c Georgia Kalyva ; [Foreword by George Kavvalakis].
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| 264 |
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1 |
|a Birmingham :
|b Packt Publishing.
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| 264 |
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2 |
|a Paris :
|b Cyberlibris,
|c 2023.
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| 336 |
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|b txt
|2 rdacontent
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| 337 |
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|b c
|2 rdamedia
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| 337 |
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|b b
|2 isbdmedia
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| 338 |
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|b ceb
|2 RDAfrCarrier
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| 500 |
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|a Couverture (https://static2.cyberlibris.com/books_upload/136pix/9781805123958.jpg).
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| 506 |
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|a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement
|e Cyberlibris
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| 700 |
1 |
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|a Kavvalakis, George.
|4 aui.
|e Préface
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| 856 |
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|q HTML
|u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88953182
|w Données éditeur
|z Accès à l'E-book
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| 886 |
2 |
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|2 unimarc
|a 181
|a i#
|b xxxe##
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| 993 |
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|a E-Book
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| 994 |
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|a BNUM
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| 995 |
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|a 277032342
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