BULK METADATA - adding dash to titleSuffix

j-martens · j-martens · commit 8c1e7bcb006d · 2019-11-07T19:31:41.000-06:00
diff --git a/articles/machine-learning/studio/ai-gallery-control-personal-data-dsr.md b/articles/machine-learning/studio/ai-gallery-control-personal-data-dsr.md
@@ -1,6 +1,6 @@
 ---
 title: Manage Azure AI Gallery data
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: You can export and delete your in-product user data from Azure AI Gallery using the interface or AI Gallery Catalog API. This article shows you how.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/algorithm-choice.md b/articles/machine-learning/studio/algorithm-choice.md
@@ -1,6 +1,6 @@
 ---
 title: How to choose algorithms
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to choose Azure Machine Learning Studio (classic) algorithms for supervised and unsupervised learning in clustering, classification, or regression experiments.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/algorithm-parameters-optimize.md b/articles/machine-learning/studio/algorithm-parameters-optimize.md
@@ -1,6 +1,6 @@
 ---
 title: Optimize algorithms
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Explains how to choose the optimal parameter set for an algorithm in Azure Machine Learning Studio (classic).
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/azure-ml-customer-churn-scenario.md b/articles/machine-learning/studio/azure-ml-customer-churn-scenario.md
@@ -1,6 +1,6 @@
 ---
 title: Analyze customer churn
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Case study of developing an integrated model for analyzing and scoring customer churn using Azure Machine Learning Studio (classic).
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/azure-ml-netsharp-reference-guide.md b/articles/machine-learning/studio/azure-ml-netsharp-reference-guide.md
@@ -1,6 +1,6 @@
 ---
 title: Net# custom neural networks
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Syntax guide for the Net# neural networks specification language. Learn how to create custom neural network models in Azure Machine Learning Studio (classic).
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/basics-infographic-with-algorithm-examples.md b/articles/machine-learning/studio/basics-infographic-with-algorithm-examples.md
@@ -1,6 +1,6 @@
 ---
 title: Algorithm examples
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: An easy-to-understand overview of machine learning basics includes algorithm examples. The downloadable infographic covers most machine learning questions.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/consume-web-services.md b/articles/machine-learning/studio/consume-web-services.md
@@ -1,6 +1,6 @@
 ---
 title: Consume web service
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Once a machine learning service is deployed from Azure Machine Learning Studio (classic), the RESTFul Web service can be consumed either as real-time request-response service or as a batch execution service.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/consuming-from-excel.md b/articles/machine-learning/studio/consuming-from-excel.md
@@ -1,6 +1,6 @@
 ---
 title: Consume web service in Excel
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Azure Machine Learning Studio (classic) makes it easy to call web services directly from Excel without the need to write any code.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/convert-training-experiment-to-scoring-experiment.md b/articles/machine-learning/studio/convert-training-experiment-to-scoring-experiment.md
@@ -1,6 +1,6 @@
 ---
 title: Prepare model for deployment
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to prepare your trained model for deployment as a web service by converting your Machine Learning Studio (classic) training experiment to a predictive experiment.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/create-endpoint.md b/articles/machine-learning/studio/create-endpoint.md
@@ -1,6 +1,6 @@
 ---
 title: Create web service endpoints
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Create web service endpoints in Azure Machine Learning Studio (classic). Each endpoint in the web service is independently addressed, throttled, and managed.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/create-experiment.md b/articles/machine-learning/studio/create-experiment.md
@@ -1,6 +1,6 @@
 ---
 title: 'Quickstart: Create a data science experiment'
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: This machine learning quickstart walks you through an easy data science experiment. We'll predict the price of a car using a regression algorithm.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/create-models-and-endpoints-with-powershell.md b/articles/machine-learning/studio/create-models-and-endpoints-with-powershell.md
@@ -1,6 +1,6 @@
 ---
 title: Create multiple endpoints for a model
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Use PowerShell to create multiple Machine Learning models and web service endpoints with the same algorithm but different training datasets.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/create-workspace.md b/articles/machine-learning/studio/create-workspace.md
@@ -1,6 +1,6 @@
 ---
 title: Create a workspace
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: To use Azure Machine Learning Studio (classic), you need to have a Machine Learning Studio (classic) workspace. This workspace contains the tools you need to create, manage, and publish experiments.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/custom-r-modules.md b/articles/machine-learning/studio/custom-r-modules.md
@@ -1,6 +1,6 @@
 ---
 title: Define custom R modules
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: This topic describes how to author and deploy a custom R Studio (classic). It explains what custom R modules are and what files are used to define them. 
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/data-science-for-beginners-ask-a-question-you-can-answer-with-data.md b/articles/machine-learning/studio/data-science-for-beginners-ask-a-question-you-can-answer-with-data.md
@@ -1,6 +1,6 @@
 ---
 title: Ask a question data can answer
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Learn how to formulate a sharp data science question in Data Science for Beginners video 3. Includes a comparison of classification and regression questions.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/data-science-for-beginners-copy-other-peoples-work-to-do-data-science.md b/articles/machine-learning/studio/data-science-for-beginners-copy-other-peoples-work-to-do-data-science.md
@@ -1,6 +1,6 @@
 ---
 title: Copy others' data science examples
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: 'Trade secret of data science: Get others to do your work for you. Get machine learning examples from the Azure AI Gallery.'
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/data-science-for-beginners-is-your-data-ready-for-data-science.md b/articles/machine-learning/studio/data-science-for-beginners-is-your-data-ready-for-data-science.md
@@ -1,6 +1,6 @@
 ---
 title: Data evaluation
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Four criteria your data needs to meet to be ready for data science. This video has concrete examples to help with basic data evaluation.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/data-science-for-beginners-predict-an-answer-with-a-simple-model.md b/articles/machine-learning/studio/data-science-for-beginners-predict-an-answer-with-a-simple-model.md
@@ -1,6 +1,6 @@
 ---
 title: Predict answers with regression models
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to create a simple regression model to predict a price in Data Science for Beginners video 4. Includes a linear regression with target data.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/data-science-for-beginners-the-5-questions-data-science-answers.md b/articles/machine-learning/studio/data-science-for-beginners-the-5-questions-data-science-answers.md
@@ -1,6 +1,6 @@
 ---
 title: Data Science for Beginners
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Data Science for Beginners is teaches basic concepts in 5 short videos, starting with The 5 Questions Data Science Answers. From Azure Machine Learning.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/debug-models.md b/articles/machine-learning/studio/debug-models.md
@@ -1,6 +1,6 @@
 ---
 title: Debug your model
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to debug errors produced by Train Model and Score Model modules in Azure Machine Learning Studio (classic).
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/dedicated-capacity-for-bes-jobs.md b/articles/machine-learning/studio/dedicated-capacity-for-bes-jobs.md
@@ -1,6 +1,6 @@
 ---
 title: Azure Batch service jobs
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Overview of Azure Batch services for Machine Learning Studio (classic) jobs. Batch Pool processing allows you to create pools on which you can submit batch jobs.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/deploy-a-machine-learning-web-service.md b/articles/machine-learning/studio/deploy-a-machine-learning-web-service.md
@@ -1,6 +1,6 @@
 ---
 title: Deploy a web service
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to convert a training experiment to a predictive experiment, prepare it for deployment, then deploy it as an Azure Machine Learning Studio (classic) web service.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/deploy-consume-web-service-guide.md b/articles/machine-learning/studio/deploy-consume-web-service-guide.md
@@ -1,6 +1,6 @@
 ---
 title: Deployment and consumption
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: You can use Azure Machine Learning Studio (classic) to deploy machine learning workflows and models as web services. These web services can then be used to call the machine learning models from applications over the internet to do predictions in real time or in batch mode. 
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/deploy-with-resource-manager-template.md b/articles/machine-learning/studio/deploy-with-resource-manager-template.md
@@ -1,6 +1,6 @@
 ---
 title: Deploy Studio (classic) workspace with Azure Resource Manager
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to deploy a workspace for Azure Machine Learning Studio (classic) using Azure Resource Manager template
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/evaluate-model-performance.md b/articles/machine-learning/studio/evaluate-model-performance.md
@@ -1,6 +1,6 @@
 ---
 title: Evaluate model performance
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: This article demonstrates how to evaluate the performance of a model in Azure Machine Learning Studio (classic) and provides a brief explanation of the metrics available for this task.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/excel-add-in-for-web-services.md b/articles/machine-learning/studio/excel-add-in-for-web-services.md
@@ -1,6 +1,6 @@
 ---
 title: Excel add-in for web services
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to use Azure Machine Learning Web services directly in Excel without writing any code.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/execute-python-scripts.md b/articles/machine-learning/studio/execute-python-scripts.md
@@ -1,5 +1,6 @@
 ---
 title: Execute Python scripts
+titleSuffix: ML Studio (classic) - Azure
 description: Learn how to use the Execute Python Script module to use Python code in Machine Learning Studio (classic) experiments and web services.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/export-delete-personal-data-dsr.md b/articles/machine-learning/studio/export-delete-personal-data-dsr.md
@@ -1,6 +1,6 @@
 ---
 title: Export and delete your data
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: In-product data stored by Azure Machine Learning Studio (classic) is available for export and deletion through the Azure portal and also through authenticated REST APIs. Telemetry data can be accessed through the Azure Privacy Portal. This article shows you how.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/extend-your-experiment-with-r.md b/articles/machine-learning/studio/extend-your-experiment-with-r.md
@@ -1,6 +1,6 @@
 ---
 title: Extend your experiment with R
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to extend the functionality of Azure Machine Learning Studio (classic) through the R language by using the Execute R Script module.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/gallery-how-to-use-contribute-publish.md b/articles/machine-learning/studio/gallery-how-to-use-contribute-publish.md
@@ -1,6 +1,6 @@
 ---
 title: Azure AI Gallery
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Share and discover analytics resources and more in the Azure AI Gallery. Learn from others and make your own contributions to the community.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/import-data.md b/articles/machine-learning/studio/import-data.md
@@ -1,6 +1,6 @@
 ---
 title: Import training data
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to import your data into Azure Machine Learning Studio (classic) from various data sources. Learn what data types and data formats are supported.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/interpret-model-results.md b/articles/machine-learning/studio/interpret-model-results.md
@@ -1,6 +1,6 @@
 ---
 title: Interpret model results
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to choose the optimal parameter set for an algorithm using and visualizing score model outputs.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/manage-experiment-iterations.md b/articles/machine-learning/studio/manage-experiment-iterations.md
@@ -1,6 +1,6 @@
 ---
 title: Manage experiment iterations
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to manage experiment iterations in Azure Machine Learning Studio (classic). You can review previous runs of your experiments at any time in order to challenge, revisit, and ultimately either confirm or refine previous assumptions.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/manage-new-webservice.md b/articles/machine-learning/studio/manage-new-webservice.md
@@ -1,6 +1,6 @@
 ---
 title: Manage web services
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Manage your Machine Learning New and Classic Web services using the Microsoft Azure Machine Learning Web Services portal. Since Classic Web services and New Web services are based on different underlying technologies, you have slightly different management capabilities for each of them.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/manage-web-service-endpoints-using-api-management.md b/articles/machine-learning/studio/manage-web-service-endpoints-using-api-management.md
@@ -1,6 +1,6 @@
 ---
 title: Manage web services using API Management
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: A guide showing how to manage AzureML web services using API Management. Manage your REST API endpoints by defining user access, usage throttling, and dashboard monitoring.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/manage-workspace.md b/articles/machine-learning/studio/manage-workspace.md
@@ -1,6 +1,6 @@
 ---
 title: Manage workspaces
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Manage access to Azure Machine Learning Studio (classic) workspaces, and deploy and manage Machine Learning API web services
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/model-progression-experiment-to-web-service.md b/articles/machine-learning/studio/model-progression-experiment-to-web-service.md
@@ -1,6 +1,6 @@
 ---
 title: How a model becomes a web service
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: An overview of the mechanics of how your Azure Machine Learning Studio (classic) model progresses from a development experiment to a Web service.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/powershell-module.md b/articles/machine-learning/studio/powershell-module.md
@@ -1,6 +1,6 @@
 ---
 title: PowerShell modules
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Use PowerShell to create and manage Azure Machine Learning Studio (classic) workspaces, experiments, web services, and more. 
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/r-get-started.md b/articles/machine-learning/studio/r-get-started.md
@@ -1,6 +1,6 @@
 ---
 title: Getting started with R
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Use this R programming tutorial to get started using the R language with Azure Machine Learning Studio (classic) to create a forecasting solution.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/retrain-classic-web-service.md b/articles/machine-learning/studio/retrain-classic-web-service.md
@@ -1,6 +1,6 @@
 ---
 title: Retrain a classic web service
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Learn how to retrain a model and update a classic web service to use the newly trained model in Azure Machine Learning Studio (classic).
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/retrain-machine-learning-model.md b/articles/machine-learning/studio/retrain-machine-learning-model.md
@@ -1,6 +1,6 @@
 ---
 title: Retrain a web service
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Learn how to update a web service to use a newly trained machine learning model in Azure Machine Learning Studio (classic).
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/sample-experiments.md b/articles/machine-learning/studio/sample-experiments.md
@@ -1,6 +1,6 @@
 ---
 title: Kickstart experiments from examples
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Learn how to use example machine learning experiments to create new experiments with Azure AI Gallery and Azure Machine Learning Studio (classic).
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/support-aml-studio.md b/articles/machine-learning/studio/support-aml-studio.md
@@ -1,6 +1,6 @@
 ---
 title: Get support & training
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Get support and training and provide feedback for Azure Machine Learning Studio (classic)
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/text-analytics-module-tutorial.md b/articles/machine-learning/studio/text-analytics-module-tutorial.md
@@ -1,6 +1,6 @@
 ---
 title: Sentiment analysis use case
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: How to create text analytics models in Azure Machine Learning Studio (classic) using modules for text preprocessing, N-grams or feature hashing
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/troubleshooting-creating-ml-workspace.md b/articles/machine-learning/studio/troubleshooting-creating-ml-workspace.md
@@ -1,6 +1,6 @@
 ---
 title: Troubleshooting a workspace
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: This guide provides solutions for some frequently encountered challenges when you are setting up the classic version of Azure Machine Learning Studio workspaces.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/tutorial-part1-credit-risk.md b/articles/machine-learning/studio/tutorial-part1-credit-risk.md
@@ -1,6 +1,6 @@
 ---
 title: 'Tutorial 1: Predict credit risk'
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: A detailed tutorial showing how to create a predictive analytics solution for credit risk assessment in the classic version of Azure Machine Learning Studio. This tutorial is part one of a three-part tutorial series.  It shows how to create a workspace, upload data, and create an experiment.
 keywords: credit risk, predictive analytics solution,risk assessment
 author: sdgilley
diff --git a/articles/machine-learning/studio/tutorial-part2-credit-risk-train.md b/articles/machine-learning/studio/tutorial-part2-credit-risk-train.md
@@ -1,6 +1,6 @@
 ---
 title: 'Tutorial 2: Train credit risk models'
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: A detailed tutorial showing how to create a predictive analytics solution for credit risk assessment in the classic version of Azure Machine Learning Studio. This tutorial is part two of a three-part tutorial series. It shows how to train and evaluate models.  
 keywords: credit risk, predictive analytics solution,risk assessment
 author: sdgilley
diff --git a/articles/machine-learning/studio/tutorial-part3-credit-risk-deploy.md b/articles/machine-learning/studio/tutorial-part3-credit-risk-deploy.md
@@ -1,6 +1,6 @@
 ---
 title: 'Tutorial 3: Deploy credit risk model'
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: A detailed tutorial showing how to create a predictive analytics solution for credit risk assessment in the classic version of Azure Machine Learning Studio. This tutorial is part three of a three-part tutorial series. It shows how to deploy a model as a web service.
 keywords: credit risk, predictive analytics solution,risk assessment, deploy, web service
 author: sdgilley
diff --git a/articles/machine-learning/studio/use-case-excel-studio.md b/articles/machine-learning/studio/use-case-excel-studio.md
@@ -1,6 +1,6 @@
 ---
 title: Migrating analytics from Excel
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: A comparison of linear regression models in Excel and in Azure Machine Learning Studio (classic)
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/use-data-from-an-on-premises-sql-server.md b/articles/machine-learning/studio/use-data-from-an-on-premises-sql-server.md
@@ -1,6 +1,6 @@
 ---
 title: On-premises SQL Server
-titleSuffix: ML Studio (classic) Azure
+titleSuffix: ML Studio (classic) - Azure
 description: Use data from an on-premises SQL Server database to perform advanced analytics with the classic version of Azure Machine Learning Studio.
 services: machine-learning
 ms.service: machine-learning
diff --git a/articles/machine-learning/studio/use-sample-datasets.md b/articles/machine-learning/studio/use-sample-datasets.md
diff --git a/articles/machine-learning/studio/version-control.md b/articles/machine-learning/studio/version-control.md
diff --git a/articles/machine-learning/studio/web-services-that-use-import-export-modules.md b/articles/machine-learning/studio/web-services-that-use-import-export-modules.md
