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

Databricks ML in Action

<span xml:lang="en">Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment</span>

Rivera, Stephanie

Horn, Hayley

Prokaieva, Anastasia

Baker, Amanda

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 documentationEnhance or refine your expertise with tribal knowledge and concise explanationsFollow along with code projects provided in GitHub to accelerate your projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover what makes the Databricks Data Intelligence Platform...

Get to grips with autogenerating code, deploying ML algorithms, and leveraging various ML lifecycle features on the Databricks Platform, guided by best...

Databricks ML in Action: Learn how Databricks supports the...

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

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

Hayley Horn

Anastasia Prokaieva

Amanda Baker

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