Merge pull request #54913 from sdgilley/master

add links for notebook examples

Author: Ja-Dunn

articles/machine-learning/service/concept-ml-pipelines.md

@@ -63,8 +63,8 @@ Check out the [Python SDK reference docs for pipelines](http://aka.ms/aml-sdk) a
 
 ## Example notebooks
 
-The following notebook demonstrates pipelines with Azure Machine Learning:  `pipeline/pipeline-batch-scoring.ipynb`.
+The following notebook demonstrates pipelines with Azure Machine Learning:  [pipeline/pipeline-batch-scoring.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/pipeline/pipeline-batch-scoring.ipynb).
 
-Get these notebooks:
+Get this notebook:
 
 [!INCLUDE [aml-clone-in-azure-notebook](../../../includes/aml-clone-for-examples.md)]

articles/machine-learning/service/how-to-auto-train-remote.md

@@ -199,7 +199,7 @@ Find logs on the DSVM under /tmp/azureml_run/{iterationid}/azureml-logs.
 
 ## Example
 
-The `automl/03.auto-ml-remote-execution.ipynb` notebook demonstrates concepts in this article.  Get this notebook:
+The [automl/03.auto-ml-remote-execution.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/automl/03.auto-ml-remote-execution.ipynb) notebook demonstrates concepts in this article.  Get this notebook:
 
 [!INCLUDE [aml-clone-in-azure-notebook](../../../includes/aml-clone-for-examples.md)]
 

articles/machine-learning/service/how-to-build-deploy-onnx.md

@@ -194,10 +194,10 @@ The following notebooks demonstrate how to create ONNX models and deploy them wi
 + `/onnx/onnx-train-pytorch-aml-deploy-mnist.ipynb`
 
 The following notebooks demonstrate how to deploy existing ONNX models with Azure Machine Learning: 
-+ `/onnx/onnx-inference-mnist.ipynb` 
-+ `/onnx/onnx-inference-emotion-recognition.ipynb`
++ [onnx/onnx-inference-mnist.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/onnx/onnx-inference-mnist.ipynb) 
++ [onnx/onnx-inference-emotion-recognition.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/onnx/onnx-inference-emotion-recognition.ipynb)
 
-Get this notebook:
+Get these notebooks:
 
 [!INCLUDE [aml-clone-in-azure-notebook](../../../includes/aml-clone-for-examples.md)]
 

articles/machine-learning/service/how-to-deploy-fpga-web-service.md

@@ -166,7 +166,7 @@ Azure Machine Learning models running on FPGAs provide SSL support and key-based
 
 ## Sample notebook
 
-Concepts in this article are demonstrated in the `project-brainwave/project-brainwave-quickstart.ipynb` notebook.
+Concepts in this article are demonstrated in the [project-brainwave/project-brainwave-quickstart.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/project-brainwave/project-brainwave-quickstart.ipynb) notebook.
 
 Get this notebook:
 

articles/machine-learning/service/how-to-enable-app-insights.md

@@ -121,7 +121,7 @@ Click [here](../../application-insights/app-insights-overview.md) to learn more
 
 ## Example Notebook
 
-The `00.Getting Started/13.enable-app-insights-in-production-service.ipynb` notebook demonstrates concepts in this article.  Get this notebook:
+The [00.Getting Started/13.enable-app-insights-in-production-service.ipynb](https://github.com/Azure/MachineLearningNotebooks/tree/master/01.getting-started/13.enable-app-insights) notebook demonstrates concepts in this article.  Get this notebook:
 
 [!INCLUDE [aml-clone-in-azure-notebook](../../../includes/aml-clone-for-examples.md)]
 

articles/machine-learning/service/how-to-enable-data-collection.md

@@ -156,7 +156,7 @@ You can stop collecting data any time. Use Python code or the Azure portal to di
 
 ## Example notebook
 
-The `00.Getting Started/12.enable-data-collection-for-models-in-aks.ipynb` notebook demonstrates concepts in this article.  
+The [00.Getting Started/12.enable-data-collection-for-models-in-aks.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/01.getting-started/12.enable-data-collection-for-models-in-aks) notebook demonstrates concepts in this article.  
 
 Get this notebook:
 

articles/machine-learning/service/how-to-set-up-training-targets.md

@@ -409,11 +409,11 @@ Follow the above steps to view the list of compute targets, then use the followi
 
 ## Examples
 The following notebooks demonstrate concepts in this article:
-* `01.getting-started/02.train-on-local/02.train-on-local.ipynb`
-* `01.getting-started/04.train-on-remote-vm/04.train-on-remote-vm.ipynb`
-* `01.getting-started/03.train-on-aci/03.train-on-aci.ipynb`
-* `01.getting-started/05.train-in-spark/05.train-in-spark.ipynb`
-* `tutorials/01.train-models.ipynb`
+* [01.getting-started/02.train-on-local/02.train-on-local.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/01.getting-started/02.train-on-local)
+* [01.getting-started/04.train-on-remote-vm/04.train-on-remote-vm.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/01.getting-started/04.train-on-remote-vm)
+* [01.getting-started/03.train-on-aci/03.train-on-aci.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/01.getting-started/03.train-on-aci)
+* [01.getting-started/05.train-in-spark/05.train-in-spark.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/01.getting-started/05.train-in-spark)
+* [tutorials/01.train-models.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/tutorials/01.train-models.ipynb)
 
 Get these notebooks:
 [!INCLUDE [aml-clone-in-azure-notebook](../../../includes/aml-clone-for-examples.md)]

articles/machine-learning/service/how-to-track-experiments.md

@@ -243,8 +243,8 @@ You can also view any outputs or logs for the run, or download the snapshot of t
 
 ## Example notebooks
 The following notebooks demonstrate concepts in this article:
-* `01.getting-started/01.train-within-notebook/01.train-within-notebook.ipynb`
-* `01.getting-started/02.train-on-local/02.train-on-local.ipynb`
+* [01.getting-started/01.train-within-notebook/01.train-within-notebook.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/01.getting-started/01.train-within-notebook)
+* [01.getting-started/02.train-on-local/02.train-on-local.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/01.getting-started/02.train-on-local)
 
 Get these notebooks:
 [!INCLUDE [aml-clone-in-azure-notebook](../../../includes/aml-clone-for-examples.md)]

articles/machine-learning/service/how-to-train-ml-models.md

@@ -115,10 +115,10 @@ run = experiment.submit(cntk_est)
 
 ## Examples
 For a tutorial on training a sklearn model, see:
-* `tutorials/01.train-models.ipynb`
+* [tutorials/01.train-models.ipynb](https://github.com/Azure/MachineLearningNotebooks/blob/master/tutorials/01.train-models.ipynb)
 
 For a tutorial on distributed CNTK using custom docker, see:
-* `training/06.distributed-cntk-with-custom-docker`
+* [training/06.distributed-cntk-with-custom-docker](https://github.com/Azure/MachineLearningNotebooks/blob/master/training/06.distributed-cntk-with-custom-docker)
 
 Get these notebooks:
 

articles/machine-learning/service/how-to-train-pytorch.md

@@ -96,10 +96,10 @@ run = exp.submit(pt_est)
 
 ## Examples
 For a tutorial on single-node PyTorch training, see:
-* `training/01.train-hyperparameter-tune-deploy-with-pytorch`
+* [training/01.train-hyperparameter-tune-deploy-with-pytorch](https://github.com/Azure/MachineLearningNotebooks/tree/master/training/01.train-hyperparameter-tune-deploy-with-pytorch)
 
 For a tutorial on distributed PyTorch with Horovod, see:
-* `training/02.distributed-pytorch-with-horovod`
+* [training/02.distributed-pytorch-with-horovod](https://github.com/Azure/MachineLearningNotebooks/blob/master/training/02.distributed-pytorch-with-horovod)
 
 Get these notebooks:
 

articles/machine-learning/service/how-to-train-tensorflow.md

@@ -166,13 +166,13 @@ run = exp.submit(tf_est)
 
 ## Examples
 For a tutorial on single-node TensorFlow training, see:
-* `training/03.train-hyperparameter-tune-deploy-with-tensorflow `
+* [training/03.train-hyperparameter-tune-deploy-with-tensorflow](https://github.com/Azure/MachineLearningNotebooks/blob/master/training/03.train-hyperparameter-tune-deploy-with-tensorflow/03.train-hyperparameter-tune-deploy-with-tensorflow.ipynb)
 
 For a tutorial on distributed TensorFlow with Horovod, see:
-* `training/04.distributed-tensorflow-with-horovod`
+* [training/04.distributed-tensorflow-with-horovod](https://github.com/Azure/MachineLearningNotebooks/tree/master/training/04.distributed-tensorflow-with-horovod)
 
 For a tutorial on native distributed TensorFlow, see:
-* `training/05.distributed-tensorflow-with-parameter-server`
+* [training/05.distributed-tensorflow-with-parameter-server](https://github.com/Azure/MachineLearningNotebooks/blob/master/training/05.distributed-tensorflow-with-parameter-server)
 
 Get these notebooks:
 

articles/machine-learning/service/how-to-tune-hyperparameters.md

@@ -335,7 +335,7 @@ print('\n batch size:',parameter_values[7])
 
 ## Sample notebook
 Refer to 
-* `training/03.train-hyperparameter-tune-deploy-with-tensorflow/03.train-hyperparameter-tune-deploy-with-tensorflow.ipynb` for a tutorial on tuning hyperparameters for a Tensorflow model. 
+* [training/03.train-hyperparameter-tune-deploy-with-tensorflow](https://github.com/Azure/MachineLearningNotebooks/blob/master/training/03.train-hyperparameter-tune-deploy-with-tensorflow) for a tutorial on tuning hyperparameters for a Tensorflow model. 
 
 Get this notebook:
 

articles/machine-learning/service/quickstart-get-started.md

@@ -55,6 +55,8 @@ Click on the `Open Azure Notebooks` button to try your first experiment.
 
  ![Launch Azure Notebook](./media/quickstart-get-started/explore_ws.png)
 
+Your organizations may require [administrator consent](https://notebooks.azure.com/help/signing-up/work-or-school-account/admin-consent) before you can sign in.
+
 After you sign in, a new tab opens and a `Clone Library` prompt appears.  Click on `Clone`
 
 

includes/aml-clone-for-examples.md

@@ -12,7 +12,5 @@ ms.date: 09/24/2018
 ---
 
 1. [![Azure Notebooks](https://notebooks.azure.com/launch.png)](https://aka.ms/aml-clone-azure-notebooks)
-[Import sample notebooks into Azure Notebooks](https://aka.ms/aml-clone-azure-notebooks).
-1.  Create a workspace and its configuration file (**config.json**) using instructions in [How to configure a development environment for the Azure Machine Learning service](https://aka.ms/aml-how-to-configure-environment).
-2. Select `+New` in the toolbar to add your **config.json** file to the same folder as the notebook.
-3. Open the notebook.
+[Import sample notebooks into Azure Notebooks](https://aka.ms/aml-clone-azure-notebooks). (Your organizations may require [administrator consent](https://notebooks.azure.com/help/signing-up/work-or-school-account/admin-consent) before you can sign in.)
+1. See the README in the imported library for further instructions to run the notebooks.