Merge pull request #174070 from cjgronlund/subserv-tags

Subserv tags

Author: ShannonLeavitt

articles/machine-learning/concept-automated-ml.md

@@ -4,7 +4,7 @@ titleSuffix: Azure Machine Learning
 description: Learn how Azure Machine Learning can automatically generate a model by using the parameters and criteria you provide with automated machine learning.
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: automl
 ms.topic: conceptual
 author: cartacioS
 ms.author: sacartac

articles/machine-learning/concept-data-encryption.md

@@ -4,7 +4,7 @@ titleSuffix: Azure Machine Learning
 description: 'Learn how Azure Machine Learning computes and data stores provides data encryption at rest and in transit.'
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: enterprise-readiness
 ms.topic: conceptual
 ms.author: jhirono
 author: jhirono

articles/machine-learning/concept-data-ingestion.md

@@ -4,7 +4,7 @@ titleSuffix: Azure Machine Learning
 description: Learn the pros and cons of the available data ingestion options for training your machine learning models.
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: mldata
 ms.topic: conceptual
 ms.reviewer: nibaccam
 author: nibaccam

articles/machine-learning/concept-data.md

@@ -4,7 +4,7 @@ titleSuffix: Azure Machine Learning
 description: Learn how to securely connect to your data storage on Azure with Azure Machine Learning datastores and datasets.
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: enterprise-readiness
 ms.topic: conceptual
 ms.reviewer: nibaccam
 author: nibaccam

articles/machine-learning/concept-differential-privacy.md

@@ -7,7 +7,7 @@ ms.author: luquinta
 ms.date: 01/21/2020
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: enterprise-readiness
 ms.topic: conceptual
 ms.custom:  responsible-ml
 #Customer intent: As a data scientist, I want to know what differential privacy is and how I can implement a differentially private systems.

articles/machine-learning/concept-endpoints.md

@@ -1,10 +1,10 @@
 ---
-title: What are endpoints (preview)
+title: What are endpoints (preview)?
 titleSuffix: Azure Machine Learning
 description: Learn how Azure Machine Learning endpoints (preview) to simplify machine learning deployments.
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: mlops
 ms.topic: conceptual
 ms.author: seramasu
 author: rsethur
@@ -35,7 +35,7 @@ After you train a machine learning model, you need to deploy the model so that o
 :::image type="content" source="media/concept-endpoints/endpoint-concept.png" alt-text="Diagram showing an endpoint splitting traffic to two deployments":::
 
 An **endpoint** is an HTTPS endpoint that clients can call to receive the inferencing (scoring) output of a trained model. It provides: 
-- Authentication using 'key & token' based auth 
+- Authentication using "key & token" based auth 
 - SSL termination 
 - Traffic allocation between deployments 
 - A stable scoring URI (endpoint-name.region.inference.ml.azure.com)

articles/machine-learning/concept-enterprise-security.md

@@ -4,9 +4,9 @@ titleSuffix: Azure Machine Learning
 description: 'Securely use Azure Machine Learning: authentication, authorization, network security, data encryption, and monitoring.'
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: enterprise-readiness
 ms.topic: conceptual
-ms.author: jmartens
+ms.author: aashishb
 author: aashishb
 ms.reviewer: larryfr
 ms.date: 09/22/2021

articles/machine-learning/concept-fairness-ml.md

@@ -4,7 +4,7 @@ titleSuffix: Azure Machine Learning
 description: Learn about machine learning fairness and how the Fairlearn Python package can help you assess and mitigate unfairness. 
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: enterprise-readiness
 ms.topic: conceptual
 ms.author: luquinta
 author: luisquintanilla

articles/machine-learning/concept-manage-ml-pitfalls.md

@@ -4,7 +4,7 @@ titleSuffix: Azure Machine Learning
 description: Identify and manage common pitfalls of ML models with Azure Machine Learning's automated machine learning solutions. 
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: automl
 ms.topic: conceptual
 ms.reviewer: nibaccam
 author: nibaccam

articles/machine-learning/concept-ml-pipelines.md

@@ -4,7 +4,7 @@ titleSuffix: Azure Machine Learning
 description: Learn how machine learning pipelines help you build, optimize, and manage machine learning workflows.
 services: machine-learning
 ms.service: machine-learning
-ms.subservice: core
+ms.subservice: mlops
 ms.topic: conceptual
 ms.author: laobri
 author: lobrien