diff --git a/articles/data-factory/compute-linked-services.md b/articles/data-factory/compute-linked-services.md index 4b4a6ee75bf80..38e8fbb155e72 100644 --- a/articles/data-factory/compute-linked-services.md +++ b/articles/data-factory/compute-linked-services.md @@ -386,11 +386,11 @@ You create an Azure Machine Learning Studio linked service to register a Machine | tenant | Specify the tenant information (domain name or tenant ID) under which your application resides. You can retrieve it by hovering the mouse in the upper-right corner of the Azure portal. | Required if updateResourceEndpoint is specified | | connectVia | The Integration Runtime to be used to dispatch the activities to this linked service. You can use Azure Integration Runtime or Self-hosted Integration Runtime. If not specified, it uses the default Azure Integration Runtime. | No | -## Azure Machine Learning Service linked service -You create an Azure Machine Learning Service linked service to connect an Azure Machine Learning service workspace to a data factory. +## Azure Machine Learning linked service +You create an Azure Machine Learning linked service to connect an Azure Machine Learning workspace to a data factory. > [!NOTE] -> Currently only service principal authentication is supported for the Azure Machine Learning Service linked service. +> Currently only service principal authentication is supported for the Azure Machine Learning linked service. ### Example @@ -424,7 +424,7 @@ You create an Azure Machine Learning Service linked service to connect an Azure | Type | The type property should be set to: **AzureMLService**. | Yes | | subscriptionId | Azure subscription ID | Yes | | resourceGroupName | name | Yes | -| mlWorkspaceName | Azure Machine Learning Service workspace name | Yes | +| mlWorkspaceName | Azure Machine Learning workspace name | Yes | | servicePrincipalId | Specify the application's client ID. | No | | servicePrincipalKey | Specify the application's key. | No | | tenant | Specify the tenant information (domain name or tenant ID) under which your application resides. You can retrieve it by hovering the mouse in the upper-right corner of the Azure portal. | Required if updateResourceEndpoint is specified | No | diff --git a/articles/iot-edge/TOC.yml b/articles/iot-edge/TOC.yml index c7e241233b90f..19da5c07cae53 100644 --- a/articles/iot-edge/TOC.yml +++ b/articles/iot-edge/TOC.yml @@ -45,7 +45,7 @@ href: tutorial-deploy-function.md - name: Find averages with Azure Stream Analytics href: tutorial-deploy-stream-analytics.md - - name: Score data with Azure Machine Learning service + - name: Score data with Azure Machine Learning href: tutorial-deploy-machine-learning.md - name: Classify images with Custom Vision href: tutorial-deploy-custom-vision.md diff --git a/articles/iot-edge/tutorial-deploy-machine-learning.md b/articles/iot-edge/tutorial-deploy-machine-learning.md index 6cea7d59f4958..5dd774653c189 100644 --- a/articles/iot-edge/tutorial-deploy-machine-learning.md +++ b/articles/iot-edge/tutorial-deploy-machine-learning.md @@ -53,7 +53,7 @@ Cloud resources: In this section, you convert trained machine learning model files and into an Azure Machine Learning service container. All the components required for the Docker image are in the [AI Toolkit for Azure IoT Edge Git repo](https://github.com/Azure/ai-toolkit-iot-edge/tree/master/IoT%20Edge%20anomaly%20detection%20tutorial). Follow these steps to upload that repository into Microsoft Azure Notebooks to create the container and push it to Azure Container Registry. -1. Navigate to your Azure Notebooks projects. You can get there from your Azure Machine Learning service workspace in the [Azure portal](https://portal.azure.com) or by signing in to [Microsoft Azure Notebooks](https://notebooks.azure.com/home/projects) with your Azure account. +1. Navigate to your Azure Notebooks projects. You can get there from your Azure Machine Learning workspace in the [Azure portal](https://portal.azure.com) or by signing in to [Microsoft Azure Notebooks](https://notebooks.azure.com/home/projects) with your Azure account. 2. Select **Upload GitHub Repo**. @@ -67,7 +67,7 @@ In this section, you convert trained machine learning model files and into an Az 6. Open the **aml_config/config.json** file. -7. Edit the config file to include the values for your Azure subscription ID, a resource group in your subscription, and your Azure Machine Learning service workspace name. You can get all these values from the **Overview** section of your workspace in Azure. +7. Edit the config file to include the values for your Azure subscription ID, a resource group in your subscription, and your Azure Machine Learning workspace name. You can get all these values from the **Overview** section of your workspace in Azure. 8. Save the config file. diff --git a/articles/iot-edge/tutorial-machine-learning-edge-04-train-model.md b/articles/iot-edge/tutorial-machine-learning-edge-04-train-model.md index 0f1a690b17730..a1aaf50f150f3 100644 --- a/articles/iot-edge/tutorial-machine-learning-edge-04-train-model.md +++ b/articles/iot-edge/tutorial-machine-learning-edge-04-train-model.md @@ -15,7 +15,7 @@ services: iot-edge > [!NOTE] > This article is part of a series for a tutorial about using Azure Machine Learning on IoT Edge. If you have arrived at this article directly, we encourage you to begin with the [first article](tutorial-machine-learning-edge-01-intro.md) in the series for the best results. -In this article, we use Azure Notebooks first to train a machine learning model using Azure Machine Learning and then package that model as a container image that can be deployed as an Azure IoT Edge Module. The Azure Notebooks take advantage of an Azure Machine Learning service workspace, which is a foundational block used to experiment, train, and deploy machine learning models. +In this article, we use Azure Notebooks first to train a machine learning model using Azure Machine Learning and then package that model as a container image that can be deployed as an Azure IoT Edge Module. The Azure Notebooks take advantage of an Azure Machine Learning workspace, which is a foundational block used to experiment, train, and deploy machine learning models. The activities in this portion of the tutorial are broken up across two notebooks. diff --git a/articles/notebooks/use-machine-learning-services-jupyter-notebooks.md b/articles/notebooks/use-machine-learning-services-jupyter-notebooks.md index fa6b51be0dde4..7d4e86ca9b099 100644 --- a/articles/notebooks/use-machine-learning-services-jupyter-notebooks.md +++ b/articles/notebooks/use-machine-learning-services-jupyter-notebooks.md @@ -1,6 +1,6 @@ --- title: Use Azure Machine Learning Services in Azure Notebooks -description: An overview of the sample notebooks for Azure Machine Learning Services that you can use with Azure Notebooks. +description: An overview of the sample notebooks for Azure Machine Learnings that you can use with Azure Notebooks. services: app-service documentationcenter: '' author: kraigb @@ -42,7 +42,7 @@ Azure Notebooks comes pre-configured with the necessary environment to work with The Azure Machine Learning documentation contains a variety of other resources that guide you through working with Machine Learning within notebooks: - [Quickstart: Use Python to get started with Azure Machine Learning](https://docs.microsoft.com/azure/machine-learning/service/quickstart-create-workspace-with-python) -- [Tutorial #1: Train an image classification model with Azure Machine Learning service](https://docs.microsoft.com/azure/machine-learning/service/tutorial-train-models-with-aml) +- [Tutorial #1: Train an image classification model with Azure Machine Learning](https://docs.microsoft.com/azure/machine-learning/service/tutorial-train-models-with-aml) - [Tutorial #2: Deploy an image classification model in Azure Container Instance (ACI)](https://docs.microsoft.com/azure/machine-learning/service/tutorial-deploy-models-with-aml) - [Tutorial: Train a classification model with automated machine learning in Azure Machine Learning service](https://docs.microsoft.com/azure/machine-learning/service/tutorial-auto-train-models) diff --git a/articles/open-datasets/overview-what-are-open-datasets.md b/articles/open-datasets/overview-what-are-open-datasets.md index 96b83ba1828cc..e55d65e0fcf7d 100644 --- a/articles/open-datasets/overview-what-are-open-datasets.md +++ b/articles/open-datasets/overview-what-are-open-datasets.md @@ -42,7 +42,7 @@ Following are examples of datasets available. ## Access to datasets With an Azure account, you can access open datasets using code or through the Azure service interface. The data is colocated with Azure cloud compute resources for use in your machine learning solution. -Open Datasets provides Azure Notebooks and Azure Databricks notebooks you can use to connect data to Azure Machine Learning service and Azure Databricks. Datasets can also be accessed through a Python SDK. +Open Datasets provides Azure Notebooks and Azure Databricks notebooks you can use to connect data to Azure Machine Learning and Azure Databricks. Datasets can also be accessed through a Python SDK. However, you don't need an Azure account to access Open Datasets; you can access them from any Python environment with or without Spark. diff --git a/markdown templates/aml-templates/template-howto.md b/markdown templates/aml-templates/template-howto.md index 587871bd31897..dda0770ed4df8 100644 --- a/markdown templates/aml-templates/template-howto.md +++ b/markdown templates/aml-templates/template-howto.md @@ -1,5 +1,5 @@ --- -title: Verb action for Azure Machine Learning service in 59 chars or less. Include the name Azure Machine Learning. Test title here https://moz.com/learn/seo/title-tag (EXAMPLE - Deploying web services in Python with Azure Machine Learning service) +title: Verb action for Azure Machine Learning in 59 chars or less. Include the name Azure Machine Learning. Test title here https://moz.com/learn/seo/title-tag (EXAMPLE - Deploying web services in Python with Azure Machine Learning) description: Learn how to do this and that using customer words in Azure Machine Learning. This string describes the article in 115 to 145 characters. Use SEO kind of action verbs here. This info is displayed on the search page inline with the article date stamp. If your intro para describes your article's intent, you can use it here edited for length. services: machine-learning ms.service: machine-learning diff --git a/markdown templates/aml-templates/template-quickstart.md b/markdown templates/aml-templates/template-quickstart.md index 68ee717110edb..3c39242f2c349 100644 --- a/markdown templates/aml-templates/template-quickstart.md +++ b/markdown templates/aml-templates/template-quickstart.md @@ -1,5 +1,5 @@ --- -title: Verb action quickstart for Azure Machine Learning service in 59 chars or less. Include the name Azure Machine Learning. Test title here https://moz.com/learn/seo/title-tag [Example - Create an Azure Machine Learning service account and get started] +title: Verb action quickstart for Azure Machine Learning in 59 chars or less. Include the name Azure Machine Learning. Test title here https://moz.com/learn/seo/title-tag [Example - Create an Azure Machine Learning service account and get started] description: This string describes the article in 115 to 145 characters. Use SEO kind of action verbs here. such as - Learn how to do this and that using customer words. This info is displayed on the search page inline with the article date stamp. If your intro para describes your article's intent, you can use it here edited for length. services: machine-learning ms.service: machine-learning diff --git a/markdown templates/aml-templates/template-tutorial.md b/markdown templates/aml-templates/template-tutorial.md index ed715e37d33a6..dfd3ad0ef4e8e 100644 --- a/markdown templates/aml-templates/template-tutorial.md +++ b/markdown templates/aml-templates/template-tutorial.md @@ -1,5 +1,5 @@ --- -title: Verb action tutorial for Azure Machine Learning service in 59 chars or less. Include the name Azure Machine Learning. Include the word 'tutorial'. Test title here https://moz.com/learn/seo/title-tag +title: Verb action tutorial for Azure Machine Learning in 59 chars or less. Include the name Azure Machine Learning. Include the word 'tutorial'. Test title here https://moz.com/learn/seo/title-tag description: This tutorial …blah blah blah. This string describes the article in 115 to 145 characters. Include the word 'tutorial' in your description. Use SEO kind of action verbs here. such as - Learn how to do this and that using customer words. This info is displayed on the search page inline with the article date stamp. If your intro para describes your article's intent, you can use it here edited for length. services: machine-learning ms.service: machine-learning