Merge pull request #8 from microsoft/danielleodean-patch-1

adding AML references

README.md

@@ -20,9 +20,9 @@ git clone --recursive https://github.com/Microsoft/AIReferenceArchitectures.git
 # Tutorials <a name="tutorials"></a>
 | Tutorial                                     | Environment | Description                                                                       | Status                                                                                                                                                                                                                                                                                                              |
 |----------------------------------------------|-------------|-----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| [Deploy Deep Learning Model on Kubernetes](https://github.com/Microsoft/AKSDeploymentTutorialAML)    				   | Python GPU  | Deploy image classification model on Kubernetes or IoT Edge for _real-time_ scoring             | [![Build Status](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_apis/build/status/Microsoft.AKSDeploymentTutorialAML?branchName=master)](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_build/latest?definitionId=11&branchName=master)                                                         |
-| [Deploy Classic ML Model on Kubernetes](https://github.com/Microsoft/MLAKSDeployAML)       						   | Python CPU  | Train LightGBM model locally using Azure Machine Learning, deploy on Kubernetes or IoT Edge for _real-time_ scoring                         | ![](https://dev.azure.com/customai/MLAKSDeployAMLPipeline/_apis/build/status/Microsoft.MLAKSDeployAML?branchName=master)                                                                                                                                                                                            |
-| [Hyperparameter Tuning of Classical ML Models](https://github.com/Microsoft/MLHyperparameterTuning) 				   | Python CPU  | Train LightGBM model locally and run Hyperparameter tuning using Hyperdrive                            | ![](https://dev.azure.com/customai/MLHyperparameterTuningPipeline/_apis/build/status/Microsoft.MLHyperparameterTuning?branchName=master)                                                                                                                                                                            |
+| [Deploy Deep Learning Model on Kubernetes](https://github.com/Microsoft/AKSDeploymentTutorialAML)    				   | Python GPU  | Deploy image classification model on Kubernetes or IoT Edge for _real-time_ scoring using Azure ML             | [![Build Status](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_apis/build/status/Microsoft.AKSDeploymentTutorialAML?branchName=master)](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_build/latest?definitionId=11&branchName=master)                                                         |
+| [Deploy Classic ML Model on Kubernetes](https://github.com/Microsoft/MLAKSDeployAML)       						   | Python CPU  | Train LightGBM model locally using Azure ML, deploy on Kubernetes or IoT Edge for _real-time_ scoring                         | ![](https://dev.azure.com/customai/MLAKSDeployAMLPipeline/_apis/build/status/Microsoft.MLAKSDeployAML?branchName=master)                                                                                                                                                                                            |
+| [Hyperparameter Tuning of Classical ML Models](https://github.com/Microsoft/MLHyperparameterTuning) 				   | Python CPU  | Train LightGBM model locally and run Hyperparameter tuning using Hyperdrive in Azure ML                            | ![](https://dev.azure.com/customai/MLHyperparameterTuningPipeline/_apis/build/status/Microsoft.MLHyperparameterTuning?branchName=master)                                                                                                                                                                            |
 | [Deploy Deep Learning Model on Pipelines](https://github.com/Azure/Batch-Scoring-Deep-Learning-Models-With-AML)      | Python GPU  | Deploy PyTorch style transfer model for _batch_ scoring using Azure ML Pipelines            | [![Build Status](https://dev.azure.com/customai/BatchScoringDeepLearningModelsWithAMLPipeline/_apis/build/status/Azure.Batch-Scoring-Deep-Learning-Models-With-AML?branchName=master)](https://dev.azure.com/customai/BatchScoringDeepLearningModelsWithAMLPipeline/_build/latest?definitionId=9&branchName=master) |
 | [Deploy Classic ML Model on Pipelines](https://github.com/Microsoft/AMLBatchScoringPipeline)         				   | Python CPU  | Deploy one-class SVM for _batch_ scoring anomaly detection using Azure ML Pipelines | ![](https://dev.azure.com/customai/AMLBatchScoringPipeline/_apis/build/status/Microsoft.AMLBatchScoringPipeline?branchName=master)                                                                                                                                                                                  |
 | [Deploy R ML Model on Kubernetes](https://github.com/Azure/RealtimeRDeployment)         							   | R CPU       | Deploy ML model for _real-time_ scoring on Kubernetes |  |