Databricks ML in Action : Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

Get to grips with autogenerating code, deploying ML algorithms, and leveraging various ML lifecycle features on the Databricks Platform, guided by best practices and reusable code for you to try, alter, and build onKey FeaturesBuild machine learning solutions faster than peers only using documentati...

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Detaylı Bibliyografya
Asıl Yazarlar: Rivera, Stephanie, Prokaieva, Anastasia (Yazar), Baker, Amanda (Yazar), Horn, Hayley (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Birmingham : Packt Publishing 2024.
Paris : Cyberlibris
Online Erişim:Accès Université d'Orléans et IFPM
Not: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781800564008.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Databricks ML in Action, Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment, Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, [et autre], Birmingham, Packt Publishing, 2024, 1 vol. (280 p.), 978-18-0056-489-3

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Accès Université d'Orléans et IFPM