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
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