MLflow with Azure Machine Learning - a podcast by Microsoft

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 ActionsMore Information: MLflow Tracking for ML experiments - Azure Machine Learning | Microsoft DocsMachineLearningNotebooks/how-to-use-azureml/ml-frameworks/using-mlflow at master Azure/MachineLearningNotebooks (github.com)MachineLearningNotebooks/how-to-use-azureml/track-and-monitor-experiments/using-mlflow at master · Azure/MachineLearningNotebooks (github.com)

Further episodes of The DevOps Lab - Channel 9

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