|
|
|
|
| LEADER |
02086cmm a2200517 i 4500 |
| 001 |
ebook-236680072 |
| 005 |
20240321105629.0 |
| 007 |
cr|uuu---uuuuu |
| 008 |
190626s2019||||uk ||||g|||| ||||||eng d |
| 020 |
|
|
|a 9781789955835
|
| 035 |
|
|
|a (OCoLC)1147718888
|
| 035 |
|
|
|a FRCYB14088869945
|
| 035 |
|
|
|a FRCYB19188869945
|
| 035 |
|
|
|a FRCYB24288869945
|
| 035 |
|
|
|a FRCYB24788869945
|
| 035 |
|
|
|a FRCYB26088869945
|
| 035 |
|
|
|a FRCYB26888869945
|
| 035 |
|
|
|a FRCYB27488869945
|
| 035 |
|
|
|a FRCYB29388869945
|
| 035 |
|
|
|a FRCYB29588869945
|
| 035 |
|
|
|a FRCYB55488869945
|
| 035 |
|
|
|a FRCYB55988869945
|
| 035 |
|
|
|a FRCYB88869945
|
| 035 |
|
|
|a FRCYB56788869945
|
| 035 |
|
|
|a FRCYB07488869945
|
| 040 |
|
|
|a ABES
|b fre
|e AFNOR
|
| 041 |
0 |
|
|a eng
|2 639-2
|
| 100 |
1 |
|
|0 (IdRef)250418754
|1 http://www.idref.fr/250418754/id
|a Johnston, Benjamin.
|4 aut.
|e Auteur
|
| 245 |
1 |
0 |
|a Applied Supervised Learning with Python :
|b Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
|c Benjamin Johnston, Ishita Mathur.
|
| 256 |
|
|
|a Données textuelles.
|
| 264 |
|
1 |
|a Birmingham :
|b Packt Publishing,
|c 2019.
|
| 336 |
|
|
|b txt
|2 rdacontent
|
| 337 |
|
|
|b c
|2 rdamedia
|
| 337 |
|
|
|b b
|2 isbdmedia
|
| 338 |
|
|
|b ceb
|2 RDAfrCarrier
|
| 500 |
|
|
|a Couverture (https://static.cyberlibris.com/books_upload/136pix/9781789955835.jpg).
|
| 500 |
|
|
|a Titre provenant de la page de titre du document numérique.
|
| 500 |
|
|
|a La pagination de l'édition imprimée correspondante est de 404 p.
|
| 506 |
|
|
|a L'accès complet à la ressource est réservé aux usagers des établissements qui en ont fait l'acquisition
|
| 538 |
|
|
|a Configuration requise : navigateur internet.
|
| 700 |
1 |
|
|0 (IdRef)250971151
|1 http://www.idref.fr/250971151/id
|a Mathur, Ishita.
|4 aut.
|e Auteur
|
| 856 |
|
|
|q HTML
|u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88869945
|w Données éditeur
|z Accès à l'E-book
|
| 886 |
2 |
|
|2 unimarc
|a 181
|a i#
|b xxxe##
|
| 993 |
|
|
|a E-Book
|
| 994 |
|
|
|a BNUM
|
| 995 |
|
|
|a 236680072
|