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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 + 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
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By MicrosoftIn 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