Merge pull request #83952 from j-martens/patch-538

Update samples-notebooks.md

Author: v-albemi

articles/machine-learning/service/samples-notebooks.md

@@ -10,44 +10,49 @@ ms.topic: sample
 author: sdgilley
 ms.author: sgilley
 ms.reviewer: sgilley
-ms.date: 05/29/2019
+ms.date: 07/31/2019
 ms.custom: seodec18
 #Customer intent: As a professional data scientist, I can build an image classification model with Azure Machine Learning using Python in a Jupyter notebook.
 ---
 
-# Use Jupyter notebooks to explore Azure Machine Learning service
+# Explore Azure Machine Learning service with Jupyter notebooks
 
-The [Azure Machine Learning Notebooks repository](https://github.com/azure/machinelearningnotebooks) includes the latest Azure Machine Learning Python SDK samples. These Juypter notebooks are designed to help you explore the SDK and serve as models for your own machine learning projects.
+The [example Azure Machine Learning Notebooks repository](https://github.com/azure/machinelearningnotebooks) includes the latest Azure Machine Learning Python SDK samples. These Juypter notebooks are designed to help you explore the SDK and serve as models for your own machine learning projects.
 
 This article shows you how to access the repository from the following environments:
 
-- [Azure Machine Learning Notebook VM](#azure-machine-learning-notebook-vm)
-- [Bring your own notebook server](#bring-your-own-jupyter-notebook-server)
-- [Data Science Virtual Machine](#data-science-virtual-machine)
-- [Azure Notebooks](#azure-notebooks)
+- [Azure Machine Learning Notebook VM](#notebookvm)
+- [Bring your own notebook server](#byo)
+- [Data Science Virtual Machine](#dsvm)
+- [Azure Notebooks](#aznb)
 
 > [!NOTE]
 > Once you've cloned the repository, you'll find tutorial notebooks in the **tutorials** folder and feature-specific notebooks in the **how-to-use-azureml** folder.
 
-## Azure Machine Learning Notebook VM
+<a name="notebookvm"></a>
+## Get samples on Azure Machine Learning Notebook VM
 
 The easiest way to get started with the samples is to complete the [cloud-based notebook quickstart](quickstart-run-cloud-notebook.md). Once completed, you'll have a dedicated notebook server pre-loaded with the SDK and the sample repository. No downloads or installation necessary.
 
-## Bring your own Jupyter Notebook server
+<a name="byo"></a>
+
+## Get samples on your notebook server
 
 If you'd like to bring your own notebook server for local development, follow these steps:
 
 [!INCLUDE [aml-your-server](../../../includes/aml-your-server.md)]
 
 These instructions install the base SDK packages necessary for the quickstart and tutorial notebooks. Other sample notebooks may require you to install extra components. For more information, see [Install the Azure Machine Learning SDK for Python](https://docs.microsoft.com/python/api/overview/azure/ml/install).
 
-## Data Science Virtual Machine
+<a name="dsvm"></a>
+## Get samples on DSVM
 
 The Data Science Virtual Machine (DSVM) is a customized VM image built specifically for doing data science. If you [create a DSVM](how-to-configure-environment.md#dsvm), the SDK and notebook server are installed and configured for you. However, you'll still need to create a workspace and clone the sample repository.
 
 [!INCLUDE [aml-dsvm-server](../../../includes/aml-dsvm-server.md)]
 
-## Azure Notebooks
+<a name="aznb"></a>
+## Get samples on Azure Notebooks
 
 On [Azure Notebooks](https://notebooks.azure.com/), the SDK and notebook server are installed and configured for you. Azure Notebooks provides a fully-managed, lightweight notebook environment for you to explore.
 
@@ -59,4 +64,4 @@ Explore the [sample notebooks](https://aka.ms/aml-notebooks) to discover what Az
 
 - [Train and deploy an image classification model with MNIST](tutorial-train-models-with-aml.md)
 
-- [Prepare data and use automated machine learning to train a regression model with the NYC taxi data set](tutorial-data-prep.md)
+- [Prepare data and use automated machine learning to train a regression model with the NYC taxi data set](tutorial-data-prep.md)