Tutorial - Databricks Machine Learning Workspace | Databricks Academy

In this Databricks tutorial you will learn the Databricks Machine Learning Workspace basics for beginners. 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.

With Databricks Machine Learning, you can:
+ Train models either manually or with AutoML
+ Track training parameters and models using experiments with MLflow tracking
+ Create feature tables and access them for model training and inference
+ Share, manage, and serve models using Model Registry

You also have access to all of the capabilities of the Databricks workspace, such as notebooks, clusters, workflows, data, Delta tables and security and admin controls.

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[dataguy]

I love the little side explanations. Very helpful!

[kungfubala]

This is exactly I wanted but got lot of unnecessary videos on the search journey