Merge pull request #88449 from j-martens/master

branding for Azure Machine Learning without 'service'

Author: PRMerger15

articles/machine-learning/service/ui-concept-visual-interface.md

@@ -1,24 +1,24 @@
 ---
 title: Visual interface
-titleSuffix: Azure Machine Learning service
-description: Learn about the terms, concepts, and workflow that make up the visual interface (preview) for Azure Machine Learning service.
+titleSuffix: Azure Machine Learning
+description: Learn about the terms, concepts, and workflow that make up the visual interface (preview) for Azure Machine Learning.
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
 ms.topic: conceptual
 ms.author: sgilley
 author: sdgilley
 ms.date: 05/15/2019
-# As a data scientist, I want to understand the big picture about how the visual interface for Azure Machine Learning service works.
+# As a data scientist, I want to understand the big picture about how the visual interface for Azure Machine Learning works.
 ---
 
-# What is the visual interface for Azure Machine Learning service? 
+# What is the visual interface for Azure Machine Learning? 
 
-The visual interface (preview) for Azure Machine Learning service enables you to prep data, train, test, deploy, manage, and track machine learning models without writing code.
+The visual interface (preview) for Azure Machine Learning enables you to prep data, train, test, deploy, manage, and track machine learning models without writing code.
 
 There is no programming required, you visually connect [datasets](#dataset) and [modules](#module) to construct your model.
 
-The visual interface uses your Azure Machine Learning service [workspace](concept-workspace.md) to:
+The visual interface uses your Azure Machine Learning [workspace](concept-workspace.md) to:
 
 + Write artifacts of [experiment](#experiment) runs into the workspace.
 + Access [datasets](#dataset).

articles/machine-learning/service/ui-sample-classification-predict-churn.md

@@ -1,6 +1,6 @@
 ---
 title: "Visual interface example #5: Classification to predict churn + appetency + up-selling"
-titleSuffix: Azure Machine Learning service
+titleSuffix: Azure Machine Learning
 description: This visual interface sample experiment shows binary classifier prediction of churn, a common task for customer relationship management (CRM).
 services: machine-learning
 ms.service: machine-learning

articles/machine-learning/service/ui-sample-classification-predict-credit-risk-basic.md

@@ -1,6 +1,6 @@
 ---
 title: "Visual interface example #3: Classification to predict credit risk"
-titleSuffix: Azure Machine Learning service
+titleSuffix: Azure Machine Learning
 description: Learn how to build a machine learning classifier without writing a single line of code using the visual interface.
 services: machine-learning
 ms.service: machine-learning

articles/machine-learning/service/ui-sample-classification-predict-credit-risk-cost-sensitive.md

@@ -1,6 +1,6 @@
 ---
 title: "Visual interface example #4: Classification to predict  credit risk (cost sensitive)"
-titleSuffix: Azure Machine Learning service
+titleSuffix: Azure Machine Learning
 description: This article shows you how to build a complex machine learning experiment using the visual interface. You'll learn how to implement custom Python scripts and compare multiple models to choose the best option.
 services: machine-learning
 ms.service: machine-learning

articles/machine-learning/service/ui-sample-classification-predict-flight-delay.md

@@ -1,6 +1,6 @@
 ---
 title: "Visual interface example #6: Classification to predict  flight delays"
-titleSuffix: Azure Machine Learning service
+titleSuffix: Azure Machine Learning
 description: This article shows you how to build a machine learning model to predict flight delays using the drag-and-drop visual interface and custom R code.
 services: machine-learning
 ms.service: machine-learning

articles/machine-learning/service/ui-sample-regression-predict-automobile-price-basic.md

@@ -1,6 +1,6 @@
 ---
 title: "Visual interface example #1: regression to predict price"
-titleSuffix: Azure Machine Learning service
+titleSuffix: Azure Machine Learning
 description: Learn how to build a machine learning model to predict an automobile's price without writing a single line of code.
 services: machine-learning
 ms.service: machine-learning

articles/machine-learning/service/ui-sample-regression-predict-automobile-price-compare-algorithms.md

@@ -1,6 +1,6 @@
 ---
 title: "Visual interface example #3: regression to price and compare algorithms"
-titleSuffix: Azure Machine Learning service
+titleSuffix: Azure Machine Learning
 description: This article shows you how to build a complex machine learning experiment without writing a single line of code using the visual interface. Learn how to train and compare multiple regression models to predict a car's price based on technical features
 services: machine-learning
 ms.service: machine-learning

articles/machine-learning/service/ui-tutorial-automobile-price-deploy.md

@@ -1,7 +1,7 @@
 ---
 title: 'Tutorial: Deploy a machine learning model with the visual interface'
-titleSuffix: Azure Machine Learning service
-description: Learn how to build a predictive analytics solution in the Azure Machine Learning service visual interface. Train, score, and deploy a machine learning model using drag and drop modules. This tutorial is part two of a two-part series on predicting automobile prices using linear regression.
+titleSuffix: Azure Machine Learning
+description: Learn how to build a predictive analytics solution in Azure Machine Learning's visual interface. Train, score, and deploy a machine learning model using drag and drop modules. This tutorial is part two of a two-part series on predicting automobile prices using linear regression.
 
 author: peterclu
 ms.author: peterlu
@@ -101,7 +101,7 @@ Navigate to the **API Doc** tab, to find more API details.
 
 ## Manage models and deployments
 
-The models and web service deployments you create in the visual interface can also be managed from the Azure Machine Learning service workspace.
+The models and web service deployments you create in the visual interface can also be managed from the Azure Machine Learning workspace.
 
 1. Open your workspace in the [Azure portal](https://portal.azure.com/).  
 

articles/machine-learning/service/ui-tutorial-automobile-price-train-score.md

@@ -1,6 +1,6 @@
 ---
 title: 'Tutorial: Predict automobile price with the visual interface'
-titleSuffix: Azure Machine Learning service
+titleSuffix: Azure Machine Learning
 description: Learn how to train, score, and deploy a machine learning model using a drag and drop visual interface. This tutorial is part one of a two-part series on predicting automobile prices using linear regression.
 
 author: peterclu
@@ -14,7 +14,7 @@ ms.date: 08/16/2019
 
 # Tutorial: Predict automobile price with the visual interface
 
-In this two-part tutorial, you learn how to use the Azure Machine Learning service visual interface to develop and deploy a predictive analytic solution that predicts the price of any car. 
+In this two-part tutorial, you learn how to use Azure Machine Learning's visual interface to develop and deploy a predictive analytic solution that predicts the price of any car. 
 
 > [!VIDEO https://www.microsoft.com/videoplayer/embed/RE2X1GY]
 
@@ -37,11 +37,11 @@ To find it, from the **Experiments page**, select **Add New**, then select the *
 
 ## Create a new experiment
 
-To create a visual interface experiment, you first need  an Azure Machine Learnings service workspace. In this section you learn how to create both these resources.
+To create a visual interface experiment, you first need  an Azure Machine Learning service workspace. In this section you learn how to create both these resources.
 
 ### Create a new workspace
 
-If you have an Azure Machine Learning service workspace, skip to the next section.
+If you have an Azure Machine Learning workspace, skip to the next section.
 
 [!INCLUDE [aml-create-portal](../../../includes/aml-create-in-portal.md)]