Fixing filepaths to avoid redirection

Author: j-martens

articles/databox-online/azure-stack-edge-technical-specifications-compliance.md

@@ -30,7 +30,7 @@ A Field Programmable Gate Array (FPGA) is included on every Azure Stack Edge dev
 
 | Specification           | Value                  |
 |-------------------------|----------------------------|
-| FPGA   | Intel Arria 10 <br> Available Deep Neural Network (DNN) models are the same as those [supported by cloud FPGA instances](https://docs.microsoft.com/azure/machine-learning/service/how-to-deploy-fpga-web-service#whats-supported-on-azure).| 
+| FPGA   | Intel Arria 10 <br> Available Deep Neural Network (DNN) models are the same as those [supported by cloud FPGA instances](https://docs.microsoft.com/azure/machine-learning/how-to-deploy-fpga-web-service#whats-supported-on-azure).| 
 
 
 ## Power supply unit specifications

articles/event-grid/event-schema-machine-learning.md

@@ -263,5 +263,5 @@ The data object has the following properties for each event type:
 
 * For an introduction to Azure Event Grid, see [What is Event Grid?](overview.md)
 * For more information about creating an Azure Event Grid subscription, see [Event Grid subscription schema](subscription-creation-schema.md)
-* For an introduction to using Azure Event Grid with Azure Machine Learning, see [Consume Azure Machine Learning events](/azure/machine-learning/service/concept-event-grid-integration)
-* For an example of using Azure Event Grid with Azure Machine Learning, see [Create event driven machine learning workflows](/azure/machine-learning/service/how-to-use-event-grid)
+* For an introduction to using Azure Event Grid with Azure Machine Learning, see [Consume Azure Machine Learning events](/azure/machine-learning/concept-event-grid-integration)
+* For an example of using Azure Event Grid with Azure Machine Learning, see [Create event driven machine learning workflows](/azure/machine-learning/how-to-use-event-grid)

articles/machine-learning/breadcrumb/toc.yml

@@ -19,7 +19,7 @@
     items:
     - name: Service
       tocHref: /azure/open-datasets/
-      topicHref: /azure/machine-learning/service/index
+      topicHref: /azure/machine-learning/index
       items: 
       - name: Open Datasets
         tocHref: /azure/open-datasets/
@@ -35,7 +35,7 @@
     items:
     - name: Service
       tocHref: /azure/iot-edge/
-      topicHref: /azure/machine-learning/service/index
+      topicHref: /azure/machine-learning/index
       items:
       - name: IoT Edge
         tocHref: /azure/iot-edge/
@@ -51,7 +51,7 @@
     items:
     - name: Service
       tocHref: /azure/architecture/data-guide/technology-choices/
-      topicHref: /azure/machine-learning/service/index
+      topicHref: /azure/machine-learning/index
       items:
       - name: Data Architecture Guide
         tocHref: /azure/architecture/data-guide/
@@ -67,7 +67,7 @@
     items:
     - name: Service
       tocHref: /azure/devops/pipelines/
-      topicHref: /azure/machine-learning/service/index
+      topicHref: /azure/machine-learning/index
       items:
       - name: Pipelines
         tocHref: /azure/devops/pipelines/languages/

articles/machine-learning/how-to-select-algorithms.md

@@ -145,6 +145,6 @@ You can also use the [Permutation Feature Importance module](https://docs.micros
 
 ## Next steps
 
- - [Learn more about Azure Machine Learning designer](https://docs.microsoft.com/azure/machine-learning/service/concept-designer?WT.mc_id=docs-article-lazzeri)
+ - [Learn more about Azure Machine Learning designer](https://docs.microsoft.com/azure/machine-learning/concept-designer?WT.mc_id=docs-article-lazzeri)
  - For descriptions of all the machine learning algorithms available in Azure Machine Learning designer, see [Machine Learning designer algorithm and module reference](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/module-reference?WT.mc_id=docs-article-lazzeri)
- - To explore the relationship between deep learning, machine learning, and AI, see [Deep Learning vs. Machine Learning](https://docs.microsoft.com/azure/machine-learning/service/concept-deep-learning-vs-machine-learning?WT.mc_id=docs-article-lazzeri)
+ - To explore the relationship between deep learning, machine learning, and AI, see [Deep Learning vs. Machine Learning](https://docs.microsoft.com/azure/machine-learning/concept-deep-learning-vs-machine-learning?WT.mc_id=docs-article-lazzeri)

articles/machine-learning/how-to-troubleshoot-deployment.md

@@ -19,12 +19,12 @@ Learn how to work around or solve common Docker deployment errors with Azure Con
 
 When deploying a model in Azure Machine Learning, the system performs a number of tasks.
 
-The recommended and the most up to date approach for model deployment is via the [Model.deploy()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.model%28class%29?view=azure-ml-py#deploy-workspace--name--models--inference-config-none--deployment-config-none--deployment-target-none--overwrite-false-) API using an [Environment](https://docs.microsoft.com/azure/machine-learning/service/how-to-use-environments) object as an input parameter. In this case our service will create a base docker image for you during deployment stage and mount the required models all in one call. The basic deployment tasks are:
+The recommended and the most up to date approach for model deployment is via the [Model.deploy()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.model%28class%29?view=azure-ml-py#deploy-workspace--name--models--inference-config-none--deployment-config-none--deployment-target-none--overwrite-false-) API using an [Environment](how-to-use-environments.md) object as an input parameter. In this case our service will create a base docker image for you during deployment stage and mount the required models all in one call. The basic deployment tasks are:
 
 1. Register the model in the workspace model registry.
 
 2. Define Inference Configuration:
-    1. Create an [Environment](https://docs.microsoft.com/azure/machine-learning/service/how-to-use-environments) object based on the dependencies you specify in the environment yaml file or use one of our procured environments.
+    1. Create an [Environment](how-to-use-environments.md) object based on the dependencies you specify in the environment yaml file or use one of our procured environments.
     2. Create an inference configuration (InferenceConfig object) based on the environment and the scoring script.
 
 3. Deploy the model to Azure Container Instance (ACI) service or to Azure Kubernetes Service (AKS).
@@ -45,7 +45,7 @@ Learn more about this process in the [Model Management](concept-model-management
 
 If you run into any issue, the first thing to do is to break down the deployment task (previous described) into individual steps to isolate the problem.
 
-Assuming you are using the new/recommended deployment method via [Model.deploy()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.model%28class%29?view=azure-ml-py#deploy-workspace--name--models--inference-config-none--deployment-config-none--deployment-target-none--overwrite-false-) API with an [Environment](https://docs.microsoft.com/azure/machine-learning/service/how-to-use-environments) object as an input parameter, your code can be broken down into three major steps:
+Assuming you are using the new/recommended deployment method via [Model.deploy()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.model%28class%29?view=azure-ml-py#deploy-workspace--name--models--inference-config-none--deployment-config-none--deployment-target-none--overwrite-false-) API with an [Environment](how-to-use-environments.md) object as an input parameter, your code can be broken down into three major steps:
 
 1. Register the model. Here is some sample code:
 

articles/machine-learning/toc.yml

@@ -86,7 +86,7 @@
     - name: End-to-end MLOps examples
       href: https://github.com/microsoft/MLOps
     - name: Open Datasets (public)
-      href: /azure/open-datasets/samples?context=azure/machine-learning/service/context/ml-context
+      href: /azure/open-datasets/samples?context=azure/machine-learning/context/ml-context
 - name: Concepts
   items: 
     - name: Plan and manage costs
@@ -343,7 +343,7 @@
             displayName: functions app
             href: how-to-deploy-functions.md
           - name: Azure IoT Edge devices
-            href: /azure/iot-edge/tutorial-deploy-machine-learning?context=azure/machine-learning/service/context/ml-context
+            href: /azure/iot-edge/tutorial-deploy-machine-learning?context=azure/machine-learning/context/ml-context
           - name: FPGA inference
             href: how-to-deploy-fpga-web-service.md
           - name: Custom Docker images
@@ -385,7 +385,7 @@
       href: how-to-debug-pipelines-application-insights.md
     - name: 'Azure Pipelines for CI/CD'
       displayName: continuous, integration, delivery
-      href: /azure/devops/pipelines/targets/azure-machine-learning?context=azure/machine-learning/service/context/ml-context
+      href: /azure/devops/pipelines/targets/azure-machine-learning?context=azure/machine-learning/context/ml-context
     - name: 'Designer transform data'
       displayName: pipeline
       href: how-to-designer-transform-data.md
@@ -458,7 +458,7 @@
     - name: Stack Overflow
       href: https://stackoverflow.com/questions/tagged/azure-machine-learning-service
     - name: Compare our ML products
-      href: /azure/architecture/data-guide/technology-choices/data-science-and-machine-learning?context=azure/machine-learning/service/context/ml-context
+      href: /azure/architecture/data-guide/technology-choices/data-science-and-machine-learning?context=azure/machine-learning/context/ml-context
     - name: What happened to Workbench
       displayName: desktop, ui, Workbench, upgrade, update, transfer
       href: overview-what-happened-to-workbench.md

articles/open-datasets/index.yml

@@ -34,9 +34,9 @@ landingContent:
       - linkListType: tutorial
         links:
           - text: Build a regression model with automated machine learning
-            url: /azure/machine-learning/service/tutorial-auto-train-models?context=azure/open-datasets/context/open-datasets-context
+            url: /azure/machine-learning/tutorial-auto-train-models?context=azure/open-datasets/context/open-datasets-context
           - text: Enrich an image classification model in Azure Machine Learning
-            url: /azure/machine-learning/service/tutorial-train-models-with-aml?context=azure/open-datasets/context/open-datasets-context            
+            url: /azure/machine-learning/tutorial-train-models-with-aml?context=azure/open-datasets/context/open-datasets-context            
 
 # REFERENCE
   - title: Explore reference content

articles/open-datasets/overview-what-are-open-datasets.md

@@ -54,5 +54,5 @@ If you can't find the data you want, email us to [request a dataset](mailto:aod@
 
 ## Next steps
 * [Sample notebook](samples.md)
-* [Tutorial: Regression modeling with NY taxi data](/azure/machine-learning/service/tutorial-auto-train-models?context=azure/open-datasets/context/open-datasets-context)
+* [Tutorial: Regression modeling with NY taxi data](/azure/machine-learning/tutorial-auto-train-models?context=azure/open-datasets/context/open-datasets-context)
 * [Python SDK for Open Datasets](/python/api/azureml-opendatasets/?view=azure-ml-py)

articles/open-datasets/samples.md

@@ -35,6 +35,6 @@ The example Jupyter notebooks for Azure Open Datasets show you how to load open
 
 ## Next steps
 
-* [Tutorial: Regression modeling with automated machine learning and an open dataset](/azure/machine-learning/service/tutorial-auto-train-models?context=azure/open-datasets/context/open-datasets-context)
+* [Tutorial: Regression modeling with automated machine learning and an open dataset](/azure/machine-learning/tutorial-auto-train-models?context=azure/open-datasets/context/open-datasets-context)
 * [Python SDK for Open Datasets](/python/api/azureml-opendatasets/azureml.opendatasets?view=azure-ml-py)
 * [Azure Open Datasets catalog](https://azure.microsoft.com/services/open-datasets/catalog/)

articles/open-datasets/toc.yml

@@ -9,9 +9,9 @@
 - name: Tutorial
   items:
   - name: Regression with automated machine learning
-    href: /azure/machine-learning/service/tutorial-auto-train-models?toc=/azure/open-datasets/toc.json&bc=/azure/open-datasets/breadcrumb/toc.json
+    href: /azure/machine-learning/tutorial-auto-train-models?toc=/azure/open-datasets/toc.json&bc=/azure/open-datasets/breadcrumb/toc.json
   - name: Enrich an image classification model
-    href: /azure/machine-learning/service/tutorial-train-models-with-aml?toc=/azure/open-datasets/toc.json&bc=/azure/open-datasets/breadcrumb/toc.json
+    href: /azure/machine-learning/tutorial-train-models-with-aml?toc=/azure/open-datasets/toc.json&bc=/azure/open-datasets/breadcrumb/toc.json
 - name: How-to guides
   items:
   - name: Datasets in Azure Machine Learning