Forum Discussion
Getting Started with Machine Learning in Microsoft Fabric
- 2 months ago
Nice overview, this is a good summary for anyone just getting oriented.
One thing worth adding for people starting out: MLflow is built right into Fabric notebooks, so experiment tracking (metrics, parameters, model versions) happens automatically without extra setup, that's honestly one of the more underrated parts of the Data Science experience since a lot of people don't realize it's there until they stumble into the Experiments item in the workspace.
Also worth mentioning for anyone following this thread: the Data Science tutorials in Microsoft Learn walk through the full cycle end to end (ingest, train, track, deploy, score) using sample datasets, which is a solid next step after reading a high-level summary like this one.
Excellent overview! As someone transitioning into AI and Machine Learning, I found this very helpful. Microsoft Fabric's unified approach to data engineering, model development, experiment tracking, and deployment makes it an exciting platform to learn. Looking forward to exploring it further. Thank you for sharing!