MLOps feature dive: Manage your assets, artifacts and code

In this video, you'll learn why and how to track assets and code you're creating in an end to end machine learning workflow.

Jump To: 

• [01:20] How to track assets and artifacts
• [04:20] Demo - How to keep track of code
• [05:58] Why it's important to manage datasets + Demo

For More Info:

• MLOps: Model management, deployment, and monitoring with Azure Machine Learning
• Data access in Azure Machine Learning
• Notebook tutorial showed in the video
• Git Integration

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