Merge pull request #108739 from sdgilley/sdg-seo-review

SEO review

Author: PRMerger14

articles/machine-learning/tutorial-1st-r-experiment.md

@@ -1,7 +1,7 @@
 ---
-title: "Tutorial: Logistic regression model in R"
+title: "Tutorial: Use R to create a machine learning model"
 titleSuffix: Azure Machine Learning
-description: In this tutorial, you create a logistic regression model using R packages azuremlsdk and caret to predict likelihood of a fatality in an automobile accident. 
+description: In this tutorial you'll use the Azure Machine Learning R SDK to create a logistic regression model that predicts the likelihood of a fatality in a car accident.
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
@@ -12,10 +12,10 @@ ms.author: davidsmi
 ms.date: 02/07/2020
 ---
 
-# Tutorial: Create a logistic regression model in R with Azure Machine Learning
+# Tutorial: Use R to create a machine learning model
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
-In this tutorial you'll use R and Azure Machine Learning to create a logistic regression model that predicts the likelihood of a fatality in an automobile accident. After completing this tutorial, you'll have the practical knowledge of the Azure Machine Learning R SDK to scale up to developing more-complex experiments and workflows.
+In this tutorial you'll use the Azure Machine Learning R SDK to create a logistic regression model that predicts the likelihood of a fatality in a car accident. You'll see how the Azure Machine Learning cloud resources work with R to provide a scalable environment for training and deploying a model.  
 
 In this tutorial, you perform the following tasks:
 > [!div class="checklist"]
@@ -29,7 +29,7 @@ In this tutorial, you perform the following tasks:
 > * Deploy a prediction endpoint
 > * Test the model from R
 
-If you don’t have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
+If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
 
 
 ## Create a workspace

articles/machine-learning/tutorial-deploy-models-with-aml.md

@@ -1,7 +1,7 @@
 ---
 title: "Image classification tutorial: Deploy models"
 titleSuffix: Azure Machine Learning
-description: This tutorial shows how to use Azure Machine Learning to deploy an image classification model with scikit-learn in a Python Jupyter notebook. This tutorial is the second of a two-part series.
+description: This tutorial, second of a two-part series, shows how to use Azure Machine Learning to deploy an image classification model with scikit-learn in a Python Jupyter notebook.
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
@@ -17,9 +17,7 @@ ms.custom: seodec18
 # Tutorial: Deploy an image classification model in Azure Container Instances
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
-This tutorial is **part two of a two-part tutorial series**. In the [previous tutorial](tutorial-train-models-with-aml.md), you trained machine learning models and then registered a model in your workspace on the cloud.  
-
-Now you're ready to deploy the model as a web service in [Azure Container Instances](https://docs.microsoft.com/azure/container-instances/). A web service is an image, in this case a Docker image. It encapsulates the scoring logic and the model itself. 
+This tutorial is **part two of a two-part tutorial series**. In the [previous tutorial](tutorial-train-models-with-aml.md), you trained machine learning models and then registered a model in your workspace on the cloud.  Now you're ready to deploy the model as a web service. A web service is an image, in this case a Docker image. It encapsulates the scoring logic and the model itself. 
 
 In this part of the tutorial, you use Azure Machine Learning for the following tasks:
 
@@ -297,7 +295,6 @@ Get the scoring web service's HTTP endpoint, which accepts REST client calls. Yo
 print(service.scoring_uri)
 ```
 
-
 ## Test the deployed service
 
 Earlier, you scored all the test data with the local version of the model. Now you can test the deployed model with a random sample of 30 images from the test data.  

articles/machine-learning/tutorial-train-models-with-aml.md

@@ -1,7 +1,7 @@
 ---
 title: "Image classification tutorial: Train models"
 titleSuffix: Azure Machine Learning
-description: Learn how to train an image classification model with scikit-learn in a Python Jupyter notebook with Azure Machine Learning. This tutorial is part one of a two-part series. 
+description: Use Azure Machine Learning to train an image classification model with scikit-learn in a Python Jupyter notebook. This tutorial is part one of two. 
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
@@ -14,7 +14,7 @@ ms.custom: seodec18
 #Customer intent: As a professional data scientist, I can build an image classification model with Azure Machine Learning by using Python in a Jupyter notebook.
 ---
 
-# Tutorial: Train image classification models with MNIST data and scikit-learn using Azure Machine Learning
+# Tutorial: Train image classification models with MNIST data and scikit-learn 
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
 In this tutorial, you train a machine learning model on remote compute resources. You'll use the training and deployment workflow for Azure Machine Learning in a Python Jupyter notebook.  You can then use the notebook as a template to train your own machine learning model with your own data. This tutorial is **part one of a two-part tutorial series**.  
@@ -31,7 +31,7 @@ Learn how to take the following actions:
 
 You learn how to select a model and deploy it in [part two of this tutorial](tutorial-deploy-models-with-aml.md).
 
-If you don’t have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
+If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
 
 >[!NOTE]
 > Code in this article was tested with [Azure Machine Learning SDK](https://docs.microsoft.com/python/api/overview/azure/ml/intro?view=azure-ml-py) version 1.0.65.