fix build errors

Author: sdgilley

articles/machine-learning/.openpublishing.redirection.machine-learning.json

@@ -631,7 +631,7 @@
         "redirect_document_id": false
     },
     {
-        "source_path_from_root": "/articles/machine-learning/studio/overview-what-is-machine-learning-studio.md",
+        "source_path_from_root": "/articles/machine-learning/overview-what-is-machine-learning-studio.md ",
         "redirect_url": "/azure/machine-learning/overview-what-is-azure-machine-learning#studio",
         "redirect_document_id": false
     },

articles/machine-learning/how-to-use-automated-ml-for-ml-models.md

@@ -15,7 +15,7 @@ ms.custom: automl, FY21Q4-aml-seo-hack, contperf-fy21q4, event-tier1-build-2022,
 
 # Set up no-code AutoML training with the studio UI 
 
-In this article, you learn how to set up AutoML training jobs without a single line of code using Azure Machine Learning automated ML in the [Azure Machine Learning studio](overview-what-is-azure-machine-learning.md#studio.md).
+In this article, you learn how to set up AutoML training jobs without a single line of code using Azure Machine Learning automated ML in the [Azure Machine Learning studio](overview-what-is-azure-machine-learning.md#studio).
 
 Automated machine learning, AutoML, is a process in which the best machine learning algorithm to use for your specific data is selected for you. This process enables you to generate machine learning models quickly. [Learn more about how Azure Machine Learning implements automated machine learning](concept-automated-ml.md).
 

articles/machine-learning/v1/concept-azure-machine-learning-architecture.md

@@ -260,7 +260,7 @@ Azure Machine Learning provides the following monitoring and logging capabilitie
 
 ### Studio
 
-[Azure Machine Learning studio](../overview-what-is-azure-machine-learning.md#studio.md) provides a web view of all the artifacts in your workspace.  You can view results and details of your datasets, experiments, pipelines, models, and endpoints.  You can also manage compute resources and datastores in the studio.
+[Azure Machine Learning studio](../overview-what-is-azure-machine-learning.md#studio) provides a web view of all the artifacts in your workspace.  You can view results and details of your datasets, experiments, pipelines, models, and endpoints.  You can also manage compute resources and datastores in the studio.
 
 The studio is also where you access the interactive tools that are part of Azure Machine Learning: