DP-3007 (CS)
Train and deploy a machine learning model with Azure Machine Learning
In order to train a machine learning model using Azure Machine Learning, you must ensure data availability and configure the required computing resources. Once your model is trained and its metrics are tracked using MLflow, you can choose to deploy it to an online endpoint for real-time predictions. Throughout this educational journey, you'll delve into establishing your Azure Machine Learning workspace, followed by the processes of model training and deployment.
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