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By Stephanie Rivera, Anastasia Prokaieva, Amanda Baker

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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

Build machine learning solutions faster than peers only using documentation
Enhance or refine your expertise with tribal knowledge and concise explanations
Follow along with code projects provided in GitHub to accelerate your projects
Purchase of the print or Kindle book include...

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

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