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minor typo

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Akshaya Annavajhala
2019-01-14 16:43:18 -05:00
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how-to-use-azureml/README.md
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@@ -4,7 +4,7 @@ Learn how to use Azure Machine Learning services for experimentation and model m
As a pre-requisite, run the [configuration Notebook](../configuration.ipynb) notebook first to set up your Azure ML Workspace. Then, run the notebooks in following recommended order.
* [train-within-notebook](./training/train-within-notebook): Train a model hile tracking run history, and learn how to deploy the model as web service to Azure Container Instance.
* [train-within-notebook](./training/train-within-notebook): Train a model while tracking run history, and learn how to deploy the model as web service to Azure Container Instance.
* [train-on-local](./training/train-on-local): Learn how to submit a run and use Azure ML managed run configuration.
* [train-on-remote-vm](./training/train-on-remote-vm): Use Data Science Virtual Machine as a target for remote runs.
* [logging-api](./training/logging-api): Learn about the details of logging metrics to run history.
@@ -13,4 +13,4 @@ As a pre-requisite, run the [configuration Notebook](../configuration.ipynb) not
* [enable-data-collection-for-models-in-aks](./deployment/enable-data-collection-for-models-in-aks) Learn about data collection APIs for deployed model.
* [enable-app-insights-in-production-service](./deployment/enable-app-insights-in-production-service) Learn how to use App Insights with production web service.
Find quickstarts, end-to-end tutorials, and how-tos on the [official documentation site for Azure Machine Learning service](https://docs.microsoft.com/en-us/azure/machine-learning/service/).
Find quickstarts, end-to-end tutorials, and how-tos on the [official documentation site for Azure Machine Learning service](https://docs.microsoft.com/en-us/azure/machine-learning/service/).