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how-to-use-azureml/training/README.md

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Follow these sample notebooks to learn:
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1. [Train within notebook](): train a simple scikit-learn model using the Jupyter kernel and deploy the model to Azure Container Service.
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1. [Train within notebook](train-withint-notebook): train a simple scikit-learn model using the Jupyter kernel and deploy the model to Azure Container Service.
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2. [Train on local](train-on-local): train a model using local computer as compute target.
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3. [Train on remove VM](train-remote_vm): train a model using a remote Azure VM as compute target.
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3. [Train on remove VM](train-on-remote-vm): train a model using a remote Azure VM as compute target.
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4. [Logging API](logging-api): experiment with various logging functions to create runs and automatically generate graphs.

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