MLflow with Azure Machine Learning

We’ll walk through the concepts and features of MLflow support in Azure Machine Learning. We’ll be showing a few examples on how to manage your machine learning assets using MLflow in variety of workflows including GitHub Actions. Jump To: [01:00] What is Mlflow? [02:16] Why MLflow is useful [03:35] Intro to using AzureML and MLflow together [05:20] Demo - How to start tracking with MLflow in AzureML [08:00] Demo – Using MLflow Projects with AzureML [10:33] Why use MLflow and AzureML together [16:23] Walk through CI/CD example with MLflow, AzureML and GitHub Actions More information: MLflow Tracking for ML experiments - Azure Machine Learning | Microsoft Docs https://aka.ms/DevOpsLab/MLflowTracking MachineLearningNotebooks/how-to-use-azureml/ml-frameworks/using-mlflow at master Azure/MachineLearningNotebooks (github.com) https://aka.ms/DevOpsLab/MLNotebooksFrameworks MachineLearningNotebooks/how-to-use-azureml/track-and-monitor-experiments/using-mlflow at master · Azure/MachineLearningNotebooks (github.com) https://aka.ms/DevOpsLab/MLNotebooksTrackandMonitor Azure DevOps Docs https://aka.ms/AzureDevOps/Docs GitHub Actions https://aka.ms/GitHubActions Azure DevOps YouTube https://aka.ms/AzureDevOpsYouTube Follow Damian https://twitter.com/damovisa Follow Shivani: https://twitter.com/defnotshivani Create a Free Azure DevOps Account https://aka.ms/AA7uopu