This article obviously need moniker >=sql-server-ver15

This article has no Versioning moniker, but obviously need moniker >=sql-server-ver15.
Also, replacing all 'vNext' with '2019' (per MikeRay).
Also replacing uses of a pairs of single-quotation marks around key names or phrases, with **bold** syntax: This is required by the Microsoft Style Guide, partly because the single-quotes approach causes problems when the English markdown is translated into Japanese and some other languages.
Also making a handful of minor improvements, such as standardizing on the dash character for all plain bullets (replacing * and +).
(GeneMi ,  Thursday  20180830  23:28pm)

Author: MightyPen

docs/advanced-analytics/install/sql-machine-learning-services-vnext.md

@@ -1,54 +1,58 @@
 ---
-title: Differences to SQL Server Machine Learning Services installation in vNext | Microsoft Docs
+title: Differences to SQL Server Machine Learning Services installation in 2019 | Microsoft Docs
 ms.prod: sql
 ms.technology: machine-learning
-ms.date: 08/20/2018  
+ms.date: 08/30/2018  
 ms.topic: conceptual
 author: MashaMSFT
 ms.author: mathoma
 manager: craigg
+monikerRange: ">=sql-server-ver15||=sqlallproducts-allversions"
 ---
 # Differences to SQL Server Machine Learning Services installation in vNext  
+
 [!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]
 
-Starting in SQL Server 2017, R and Python support for in-database analytics is provided in SQL Server Machine Learning Services, the successor to R Services feature introduced in SQL Server 2016. Function libraries are available in R and Python and run as external script on a database engine instance. 
+Starting in SQL Server 2017, R and Python support for in-database analytics is provided in SQL Server Machine Learning Services, the successor to R Services feature introduced in SQL Server 2016. Function libraries are available in R and Python, and run as external scripts on a database engine instance. 
 
-This article details the differences when installing SQL Server Machine Learning Services for SQL Server vNext. For installation instructions, please see [Install SQL Server Machine Learning Services](sql-machine-learning-services-windows-install.md).
+This article details the differences when installing SQL Server Machine Learning Services for SQL Server 2019. For installation instructions, please see [Install SQL Server Machine Learning Services](sql-machine-learning-services-windows-install.md).
 
 ## User accounts
 
-Before SQL Server vNext, physical user accounts were being used to isolate satellite processes. However, SQL Server vNext now uses appcontainers. 
+Before SQL Server 2019, physical user accounts were being used to isolate satellite processes. However, SQL Server 2019 now uses appcontainers. 
 
 The main differences with user accounts are:
 - Physical user accounts are no longer created. This is beneficial for machines with policies that disable local users from logging on, and with passwords that expire. 
-- To use implied authentication, create a SQL login for launchpad user account. Previously, this was necessary for the 'SQL R User Group'. 
-- 'All Application Packages' group will be granted 'read and execute' permissions to the SQL Server binn, R_SERVICES, and PTYHON_SERVICES directories. 
+- To use implied authentication, create a SQL login for launchpad user account. Previously, this was necessary for the **SQL R User Group**.
+- **All Application Packages** group will be granted **read and execute** permissions to the SQL Server binn, R_SERVICES, and PTYHON_SERVICES directories. 
 
 ## Firewall
-No firewall rule will be created for 'SQL R User Group'. Since there is no equivalent group concept for appcontainers, SQL Server setup will create firewall rules for each appcontainer. As such, if there are 20 appcontainers, then 20 firewall rules will be created.  An example of a firewall rule name is 'Block network access for AppContainer-00 in SQL Server instance MSSQLSERVER', where MSSQLSERVER is the name of the SQL Server instance. 
+
+No firewall rule will be created for **SQL R User Group**. Since there is no equivalent group concept for appcontainers, SQL Server setup will create firewall rules for each appcontainer. As such, if there are 20 appcontainers, then 20 firewall rules will be created.  An example of a firewall rule name is **Block network access for AppContainer-00 in SQL Server instance MSSQLSERVER**, where MSSQLSERVER is the name of the SQL Server instance. 
 
 ## Symbolic link
+
 A symbolic link will be created to the current default R_SERVICES location as part of SQL Server setup. To avoid creating this link, grant 'all application packages' read permission to the hierarchy leading up to the R_SERVICES folder.
 
 
 ## Get help
 
 Need help with installation or upgrade? For answers to common questions and known issues, see the following article:
-* [Upgrade and installation FAQ - Machine Learning Services](../r/upgrade-and-installation-faq-sql-server-r-services.md)
+- [Upgrade and installation FAQ - Machine Learning Services](../r/upgrade-and-installation-faq-sql-server-r-services.md)
 
 To check the installation status of the instance and fix common issues, try these custom reports.
-* [Custom reports for SQL Server R Services](../r/monitor-r-services-using-custom-reports-in-management-studio.md)
+- [Custom reports for SQL Server R Services](../r/monitor-r-services-using-custom-reports-in-management-studio.md)
 
 ## Next steps
 
-R developers can get started with some simple examples, and learn the basics of how R works with SQL Server. For your next step, see the following links:
+R developers can get started with simple examples, and learn the basics of how R works with SQL Server. For your next step, see the following links:
 
-+ [Tutorial: Run R in T-SQL](../tutorials/rtsql-using-r-code-in-transact-sql-quickstart.md)
-+ [Tutorial: In-database analytics for R developers](../tutorials/sqldev-in-database-r-for-sql-developers.md)
+- [Tutorial: Run R in T-SQL](../tutorials/rtsql-using-r-code-in-transact-sql-quickstart.md)
+- [Tutorial: In-database analytics for R developers](../tutorials/sqldev-in-database-r-for-sql-developers.md)
 
 Python developers can learn how to use Python with SQL Server by following these tutorials:
 
-+ [Tutorial: Run Python in T-SQL](../tutorials/run-python-using-t-sql.md)
-+ [Tutorial: In-database analytics for Python developers](../tutorials/sqldev-in-database-python-for-sql-developers.md)
+- [Tutorial: Run Python in T-SQL](../tutorials/run-python-using-t-sql.md)
+- [Tutorial: In-database analytics for Python developers](../tutorials/sqldev-in-database-python-for-sql-developers.md)
 
 To view examples of machine learning that are based on real-world scenarios, see [Machine learning tutorials](../tutorials/machine-learning-services-tutorials.md).