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
• MachineLearningNotebooks/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) 

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