Databricks ML in action learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

What you will learn Set up a workspace for a data team planning to perform data science Monitor data quality and detect drift Use autogenerated code for ML modeling and data exploration Operationalize ML with feature engineering client, AutoML, VectorSearch, Delta Live Tables, AutoLoader, and Workfl...

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Bibliographic Details
Main Authors: Rivera, Stephanie, Prokaieva, Anastasia (Author), Baker, Amanda (Author), Horn, Hayley (Author)
Format: eBook
Language:English
Published: Birmingham, UK Packt Publishing Ltd. 2024
Edition:1st edition
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index