***Understanding Databricks Machine Learning Workspace - 1***

Databricks Machine Learning helps you simplify and standardize your ML development processes. It is helpful to :

• Train models either manually or with AutoML.
• Track training parameters and model performance using experiments with MLflow tracking.
• Share, manage, and serve models using Model Registry and Databricks Model Serving.
• Use the Databricks Feature Store to develop and share features, track upstream and downstream feature lineage, and serve feature values online.
• Data exploration, management, and governance.
• Cluster creation and management.
• Collaborative notebooks.
• Library and environment management.
• Code management with Databricks Repos.
• Automation support including Delta Live Tables, Databricks Jobs, and APIs.