update samples from Release-137 as a part of 1.0.53 SDK release
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@@ -38,6 +38,7 @@ The [How to use Azure ML](./how-to-use-azureml) folder contains specific example
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- [Machine Learning Pipelines](./how-to-use-azureml/machine-learning-pipelines) - Examples showing how to create and use reusable pipelines for training and batch scoring
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- [Deployment](./how-to-use-azureml/deployment) - Examples showing how to deploy and manage machine learning models and solutions
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- [Azure Databricks](./how-to-use-azureml/azure-databricks) - Examples showing how to use Azure ML with Azure Databricks
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- [Monitor Models](./how-to-use-azureml/monitor-models) - Examples showing how to enable model monitoring services such as DataDrift
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---
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## Documentation
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@@ -52,6 +53,7 @@ The [How to use Azure ML](./how-to-use-azureml) folder contains specific example
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Visit following repos to see projects contributed by Azure ML users:
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- [AMLSamples](https://github.com/Azure/AMLSamples) Number of end-to-end examples, including face recognition, predictive maintenance, customer churn and sentiment analysis.
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- [Fine tune natural language processing models using Azure Machine Learning service](https://github.com/Microsoft/AzureML-BERT)
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- [Fashion MNIST with Azure ML SDK](https://github.com/amynic/azureml-sdk-fashion)
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