Merge pull request #111583 from garyericson/04-15-more-extra-notes

PRMerger20 · web-flow · commit d28d858677a9 · 2020-04-15T16:59:55.000-07:00
ASQLML: Removing more extra notes
diff --git a/articles/sql-database/sql-database-tutorial-clustering-model-build.md b/articles/sql-database/sql-database-tutorial-clustering-model-build.md
@@ -32,8 +32,6 @@ In [part one](sql-database-tutorial-clustering-model-prepare-data.md), you learn
 
 In [part three](sql-database-tutorial-clustering-model-deploy.md), you'll learn how to create a stored procedure in an Azure SQL database that can perform clustering in R based on new data.
 
-[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
-
 ## Prerequisites
 
 * Part two of this tutorial assumes you have completed [**part one**](sql-database-tutorial-clustering-model-prepare-data.md) and its prerequisites.
diff --git a/articles/sql-database/sql-database-tutorial-clustering-model-deploy.md b/articles/sql-database/sql-database-tutorial-clustering-model-deploy.md
@@ -34,8 +34,6 @@ In [part one](sql-database-tutorial-clustering-model-prepare-data.md), you learn
 
 In [part two](sql-database-tutorial-clustering-model-build.md), you learned how to create and train a K-Means clustering model in R.
 
-[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
-
 ## Prerequisites
 
 * Part three of this tutorial series assumes you have completed [**part one**](sql-database-tutorial-clustering-model-prepare-data.md) and [**part two**](sql-database-tutorial-clustering-model-build.md).
diff --git a/articles/sql-database/sql-database-tutorial-clustering-model-prepare-data.md b/articles/sql-database/sql-database-tutorial-clustering-model-prepare-data.md
@@ -38,13 +38,11 @@ In [part two](sql-database-tutorial-clustering-model-build.md), you'll learn how
 
 In [part three](sql-database-tutorial-clustering-model-deploy.md), you'll learn how to create a stored procedure in an Azure SQL database that can perform clustering in R based on new data.
 
-[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
-
 ## Prerequisites
 
 * Azure subscription - If you don't have an Azure subscription, [create an account](https://azure.microsoft.com/free/) before you begin.
 
-* Azure SQL Database Server with Machine Learning Services enabled - During the public preview, Microsoft will onboard you and enable machine learning for your existing or new databases. Follow the steps in [Sign up for the preview](sql-database-machine-learning-services-overview.md#signup).
+* [Azure SQL Database with Machine Learning Services (with R)](sql-database-machine-learning-services-overview.md) enabled.
 
 * RevoScaleR package - See [RevoScaleR](https://docs.microsoft.com/sql/advanced-analytics/r/ref-r-revoscaler?view=sql-server-2017#versions-and-platforms) for options to install this package locally.
 
diff --git a/articles/sql-database/sql-database-tutorial-predictive-model-build-compare.md b/articles/sql-database/sql-database-tutorial-predictive-model-build-compare.md
@@ -32,8 +32,6 @@ In [part one](sql-database-tutorial-predictive-model-prepare-data.md), you learn
 
 In [part three](sql-database-tutorial-predictive-model-deploy.md), you'll learn how to store the model in a database, and then create stored procedures from the R scripts you developed in parts one and two. The stored procedures will run in a SQL database to make predictions based on new data.
 
-[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
-
 ## Prerequisites
 
 * Part two of this tutorial assumes you have completed [**part one**](sql-database-tutorial-predictive-model-prepare-data.md) and its prerequisites.
diff --git a/articles/sql-database/sql-database-tutorial-predictive-model-deploy.md b/articles/sql-database/sql-database-tutorial-predictive-model-deploy.md
@@ -35,8 +35,6 @@ In [part one](sql-database-tutorial-predictive-model-prepare-data.md), you learn
 
 In [part two](sql-database-tutorial-predictive-model-build-compare.md), you learned how to create and train multiple machine learning models in R, and then choose the most accurate one.
 
-[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
-
 ## Prerequisites
 
 * Part three of this tutorial series assumes you have completed [**part one**](sql-database-tutorial-predictive-model-prepare-data.md) and [**part two**](sql-database-tutorial-predictive-model-build-compare.md).
diff --git a/articles/sql-database/sql-database-tutorial-predictive-model-prepare-data.md b/articles/sql-database/sql-database-tutorial-predictive-model-prepare-data.md
@@ -36,13 +36,11 @@ In [part two](sql-database-tutorial-predictive-model-build-compare.md), you'll l
 
 In [part three](sql-database-tutorial-predictive-model-deploy.md), you'll learn how to store the model in a database, and then create stored procedures from the R scripts you developed in parts one and two. The stored procedures will run in a SQL database to make predictions based on new data.
 
-[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
-
 ## Prerequisites
 
 * Azure subscription - If you don't have an Azure subscription, [create an account](https://azure.microsoft.com/free/) before you begin.
 
-* Azure SQL Database Server with Machine Learning Services enabled - During the public preview, Microsoft will onboard you and enable machine learning for your existing or new databases. Follow the steps in [Sign up for the preview](sql-database-machine-learning-services-overview.md#signup).
+* [Azure SQL Database with Machine Learning Services (with R)](sql-database-machine-learning-services-overview.md) enabled.
 
 * RevoScaleR package - See [RevoScaleR](https://docs.microsoft.com/sql/advanced-analytics/r/ref-r-revoscaler?view=sql-server-2017#versions-and-platforms) for options to install this package locally.
 
