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removing warning note from 3 articles that don't directly cover MLflow projects
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articles/machine-learning/concept-mlflow.md

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Learn more at [Train machine learning models with MLflow projects and Azure Machine Learning](how-to-train-mlflow-projects.md).
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[!INCLUDE [machine-learning-mlflow-projects-deprecation](includes/machine-learning-mlflow-projects-deprecation.md)]
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### Example notebooks
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* [Track an MLflow project in Azure Machine Learning workspaces](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/track-and-monitor-experiments/using-mlflow/train-projects-local/train-projects-local.ipynb)

articles/machine-learning/how-to-use-mlflow-azure-synapse.md

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If you have an MLflow Project to train with Azure Machine Learning, see [Train ML models with MLflow Projects and Azure Machine Learning (preview)](how-to-train-mlflow-projects.md).
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[!INCLUDE [machine-learning-mlflow-projects-deprecation](includes/machine-learning-mlflow-projects-deprecation.md)]
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## Prerequisites
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* An [Azure Synapse Analytics workspace and cluster](../synapse-analytics/quickstart-create-workspace.md).

articles/machine-learning/v1/concept-mlflow.md

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You can use MLflow Tracking to submit training jobs with [MLflow Projects](https://www.mlflow.org/docs/latest/projects.html) and Azure Machine Learning back-end support.
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[!INCLUDE [machine-learning-mlflow-projects-deprecation](../includes/machine-learning-mlflow-projects-deprecation.md)]
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You can submit jobs locally with Azure Machine Learning tracking or migrate your runs to the cloud via [Azure Machine Learning compute](../how-to-create-attach-compute-cluster.md).
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Learn more at [Train machine learning models with MLflow projects and Azure Machine Learning](../how-to-train-mlflow-projects.md).

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