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...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Accès en ligne: | Accès Université d'Orléans et IFPM |
| Note: |
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 |