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1 |
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|0 (IdRef)169069400
|1 http://www.idref.fr/169069400/id
|a Lemberger, Pirmin.
|4 aut.
|e Auteur
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| 245 |
1 |
0 |
|a Big data et machine learning :
|b les concepts et les outils de la data science
|c Pirmin Lemberger,... Marc Batty,... Médéric Morel,... [et al.].
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| 256 |
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|a Données textuelles.
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| 264 |
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1 |
|a Malakoff :
|b Dunod,
|c 2019.
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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
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| 338 |
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|b ceb
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| 500 |
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|a Couverture (https://static.cyberlibris.com/books_upload/136pix/9782100803422.jpg).
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| 500 |
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|a Titre provenant de la page de titre du document numérique.
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| 500 |
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|a La pagination de l'édition imprimée correspondante est de 260 p.
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| 506 |
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|a L'accès complet à la ressource est réservé aux usagers des établissements qui en ont fait l'acquisition
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| 538 |
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|a Configuration requise : navigateur internet.
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| 650 |
|
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|0 (IdRef)02734004X
|1 http://www.idref.fr/02734004X/id
|a Analyse des données
|0 (IdRef)028644905
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|x Aspect économique.
|2 ram
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| 650 |
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|a Apprentissage automatique.
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|a Exploration de données.
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|a Morel, Médéric.
|4 aut.
|e Auteur
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|a Raffaëlli, Jean-Luc.
|4 aut.
|e Auteur
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| 856 |
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|q HTML
|u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88875311
|w Données éditeur
|z Accès à l'E-book
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