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 on Key Features Build machine learning solutions faster than peers only using documenta...

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Detalles Bibliográficos
Otros Autores: Rivera, Stephanie, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd [2024]
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820531206719

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