MLOps feature dive: Manage your assets, artifacts and code | AI Show

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 + DemoFor More Info: MLOps: Model management, deployment, and monitoring with Azure Machine LearningData access in Azure Machine LearningNotebook tutorial showed in the videoGit IntegrationThe AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show Create a Free account (Azure) Deep Learning vs. Machine Learning Get Started with Machine Learning