Databricks Machine Learning guide


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Databricks Machine Learning is an integrated end-to-end machine learning environment incorporating managed services for experiment tracking, model training, feature development and management, and feature and model serving. The diagram shows how the capabilities of Databricks map to the steps of the model development and deployment process.

Machine learning diagram

With Databricks Machine Learning, you can:

For machine learning applications, Databricks recommends using a cluster running Databricks Runtime for Machine Learning.

To get started, move your mouse or pointer over the left sidebar in the Databricks workspace. The sidebar expands as you mouse over it. From the persona switcher at the top of the sidebar, select Machine Learning. The Databricks Machine Learning home page appears.

Persona selector

For more information about using the sidebar, see Use the sidebar.

For general information about the tools available to you in the Databricks workspace, such as notebooks, clusters, jobs, data, Delta tables, and so on, see the Databricks Data Science & Engineering guide.