Data-Centric Machine Learning with Python : The ultimate guide to engineering and deploying high-quality models based on good data

Saved in:
Bibliographic Details
Main Authors: Christensen, Jonas, Bajaj, Nakul (Author), Gosada, Manmohan (Author)
Other Authors: Borne, Kirk D. (Author of introduction, etc.)
Format: Livre numérique
Language:Anglais
Published: Birmingham : Packt Publishing 2024.
Paris : Cyberlibris
Online Access:Accès Université d'Orléans et IFPM
Note: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781804612415.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data-Centric Machine Learning with Python, The ultimate guide to engineering and deploying high-quality models based on good data, Jonas Christensen, Nakul Bajaj, Manmohan Gosada, [Foreword by Kirk D. Borne], Birmingham, Packt Publishing, 2024, 1 vol. (378 p.), 978-18-0461-812-7
LEADER 01538nam a22002417a 4500
001 1286653
008 240412s2024 xxg ||| |||| 00| 0 eng d
009 PPN277030870
020 |a 9781804612415 
041 0 |a eng 
100 1 |a Christensen, Jonas. 
245 1 0 |a Data-Centric Machine Learning with Python :  |b The ultimate guide to engineering and deploying high-quality models based on good data   |c Jonas Christensen, Nakul Bajaj, Manmohan Gosada ; [Foreword by Kirk D. Borne]. 
260 |a Birmingham :  |b Packt Publishing. 
260 |a Paris :  |b Cyberlibris,  |c 2024. 
500 |a Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781804612415.jpg 
500 |a Cyberlibris (ScholarVox) corpus Informatique 
506 |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris 
700 1 |a Bajaj, Nakul.  |4 aut 
700 1 |a Gosada, Manmohan.  |4 aut 
700 1 |a Borne, Kirk D.  |4 aui 
776 0 |t Data-Centric Machine Learning with Python  |o The ultimate guide to engineering and deploying high-quality models based on good data  |f Jonas Christensen, Nakul Bajaj, Manmohan Gosada  |g [Foreword by Kirk D. Borne]  |c Birmingham  |n Packt Publishing  |d 2024  |p 1 vol. (378 p.)  |z 978-18-0461-812-7 
856 4 |5 452349901:845625489  |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88953356  |z Accès Université d'Orléans et IFPM 
997 |0 1286653  |1 Livre numérique  |a Ressource numérique  |b INSA  |b ENSA  |c 0/Bibliothèque numérique/  |c 1/Bibliothèque numérique/ScholarVox (ebooks)/