[build validation] Fix broken links (#33898)

Author: markingmyname

docs/machine-learning/r/r-server-standalone.md

@@ -1,41 +1,44 @@
 ---
-title: What is standalone Machine Learning Server or R Server?
+title: What Is Standalone Machine Learning Server or R Server?
 description: Learn the differences between standalone R Server and Machine Learning Server in SQL Server Setup.
 author: VanMSFT
 ms.author: vanto
 ms.date: 08/01/2023
 ms.service: sql
 ms.subservice: machine-learning-services
 ms.topic: how-to
-ms.custom: intro-overview
+ms.custom:
+  - intro-overview
 monikerRange: ">=sql-server-2016"
 ---
+
 # What are standalone Machine Learning Server or R Server in SQL Server?
+
 [!INCLUDE [SQL Server 2016 and later](../../includes/applies-to-version/sqlserver2016.md)]
 
 [!INCLUDE [ML Server retirement banner](~/includes/machine-learning-server-retirement.md)]
 
-SQL Server provides installation support for a standalone R Server or Machine Learning Server that runs independently of SQL Server. Depending on your SQL Server version, a standalone server has a foundation of open-source R and possibly Python, overlaid with high-performance libraries from Microsoft that add statistical and predictive analytics at scale. Libraries also enable machine learning tasks scripted in R or Python. 
+SQL Server provides installation support for a standalone R Server or Machine Learning Server that runs independently of SQL Server. Depending on your SQL Server version, a standalone server has a foundation of open-source R and possibly Python, overlaid with high-performance libraries from Microsoft that add statistical and predictive analytics at scale. Libraries also enable machine learning tasks scripted in R or Python.
 
-In SQL Server 2016, this feature is called **R Server (Standalone)** and is R-only. In SQL Server 2017, it's called **Machine Learning Server (Standalone)** and includes both R and Python.  
+In SQL Server 2016, this feature is called **R Server (Standalone)** and is R-only. In SQL Server 2017, it's called **Machine Learning Server (Standalone)** and includes both R and Python.
 
-> [!Note]
+> [!NOTE]  
 > As installed by SQL Server Setup, a standalone server is functionally equivalent to the non-SQL-branded versions of [Microsoft Machine Learning Server](/machine-learning-server/what-is-machine-learning-server), supporting the same user scenarios, including remote execution, operationalization and web services, and the complete collection of R and Python libraries.
 
 ## Components
 
 SQL Server 2016 is R only. SQL Server 2017 supports R and Python. The following table describes the features in each version.
 
 | Component | Description |
-|-----------|-------------|
-| R packages | [**RevoScaleR**](ref-r-revoscaler.md) is the primary library for scalable R with functions for data manipulation, transformation, visualization, and analysis.  <br/>[**MicrosoftML**](ref-r-microsoftml.md) adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. <br/>[**sqlRUtils**](ref-r-sqlrutils.md) provides helper functions for putting R scripts into a T-SQL stored procedure, registering a stored procedure with a database, and running the stored procedure from an R development environment.<br/>[**olapR**](ref-r-olapr.md) is for specifying MDX queries in R.|
+| --- | --- |
+| R packages | [**RevoScaleR**](ref-r-revoscaler.md) is the primary library for scalable R with functions for data manipulation, transformation, visualization, and analysis.<br />[**MicrosoftML**](ref-r-microsoftml.md) adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis.<br />[**sqlRUtils**](ref-r-sqlrutils.md) provides helper functions for putting R scripts into a T-SQL stored procedure, registering a stored procedure with a database, and running the stored procedure from an R development environment.<br />[**olapR**](ref-r-olapr.md) is for specifying MDX queries in R. |
 | Microsoft R Open (MRO) | Microsoft R Open ([retired](https://techcommunity.microsoft.com/t5/azure-sql-blog/microsoft-r-application-network-retirement/ba-p/3707161)) was Microsoft's open-source distribution of R. |
 | R tools | R console windows and command prompts are standard tools in an R distribution. Find them at \Program files\Microsoft SQL Server\140\R_SERVER\bin\x64. |
-| R Samples and scripts |  Open-source R and RevoScaleR packages include built-in data sets so that you can create and run script using pre-installed data. Look for them at \Program files\Microsoft SQL Server\140\R_SERVER\library\datasets and \library\RevoScaleR. |
-| Python packages | [**revoscalepy**](../python/ref-py-revoscalepy.md) is the primary library for scalable Python with functions for data manipulation, transformation, visualization, and analysis. <br/>[**microsoftml**](../python/ref-py-microsoftml.md) adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis.  |
+| R Samples and scripts | Open-source R and RevoScaleR packages include built-in data sets so that you can create and run script using pre-installed data. Look for them at \Program files\Microsoft SQL Server\140\R_SERVER\library\datasets and \library\RevoScaleR. |
+| Python packages | [**revoscalepy**](../python/ref-py-revoscalepy.md) is the primary library for scalable Python with functions for data manipulation, transformation, visualization, and analysis.<br />[**microsoftml**](../python/ref-py-microsoftml.md) adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. |
 | Python tools | The built-in Python command-line tool is useful for ad hoc testing and tasks. Find the tool at \Program files\Microsoft SQL Server\140\PYTHON_SERVER\python.exe. |
 | Anaconda | Anaconda is an open-source distribution of Python and essential packages. |
-| Python samples and scripts | As with R, Python includes built-in data sets  and scripts. Find the revoscalepy data at \Program files\Microsoft SQL Server\140\PYTHON_SERVER\lib\site-packages\revoscalepy\data\sample-data. |
+| Python samples and scripts | As with R, Python includes built-in data sets and scripts. Find the revoscalepy data at \Program files\Microsoft SQL Server\140\PYTHON_SERVER\lib\site-packages\revoscalepy\data\sample-data. |
 | Pre-trained models in R and Python | Pre-trained models are created for specific use cases and maintained by the data science engineering team at Microsoft. You can use the pre-trained models as-is to score positive-negative sentiment in text, or detect features in images, using new data inputs that you provide. Pre-trained models are supported and usable on a standalone server, but you cannot install them through SQL Server Setup. For more information, see [Install pretrained machine learning models on SQL Server](../install/sql-pretrained-models-install.md). |
 
 ## Using a standalone server
@@ -54,38 +57,38 @@ Start with setup, attach the binaries to your favorite development tool, and wri
 
 Install either one of these versions:
 
-+ [SQL Server 2017 Machine Learning Server (standalone)](../install/sql-machine-learning-standalone-windows-install.md)
-+ [SQL Server 2016 R Server (Standalone) - R only](../install/sql-machine-learning-standalone-windows-install.md?view=sql-server-2016&preserve-view=true)
+- [SQL Server 2017 Machine Learning Server (standalone)](../install/sql-machine-learning-standalone-windows-install.md)
+- [SQL Server 2016 R Server (Standalone) - R only](../install/sql-machine-learning-standalone-windows-install.md?view=sql-server-2016&preserve-view=true)
 
 ### Step 2: Configure a development tool
 
 On a standalone server, it's common to work locally using a development installed on the same computer.
 
-+ [Set up R tools](set-up-data-science-client.md)
-+ [Set up Python tools](../python/setup-python-client-tools-sql.md)
+- [Set up R tools](set-up-data-science-client.md)
+- [Set up Python tools](../python/setup-python-client-tools-sql.md)
 
 ### Step 3: Write your first script
 
 Write R or Python script using functions from RevoScaleR, revoscalepy, and the machine learning algorithms.
-  
-  + [Explore R and RevoScaleR in 25 Functions](/machine-learning-server/r/tutorial-r-to-revoscaler): Start with basic R commands and then progress to the RevoScaleR distributable analytical functions that provide high performance and scaling to R solutions. Includes parallelizable versions of many of the most popular R modeling packages, such as k-means clustering, decision trees, and decision forests, and tools for data manipulation.
 
-  + [Quickstart: An example of binary classification with the microsoftml Python package](/machine-learning-server/python/quickstart-binary-classification-with-microsoftml): Create a binary classification model using the functions from microsoftml and the well-known breast cancer dataset.
+- [Explore R and RevoScaleR in 25 Functions](/machine-learning-server/r/tutorial-r-to-revoscaler): Start with basic R commands and then progress to the RevoScaleR distributable analytical functions that provide high performance and scaling to R solutions. Includes parallelizable versions of many of the most popular R modeling packages, such as k-means clustering, decision trees, and decision forests, and tools for data manipulation.
+
+- [Quickstart: An example of binary classification with the microsoftml Python package](/machine-learning-server/python/quickstart-binary-classification-with-microsoftml): Create a binary classification model using the functions from microsoftml and the well-known breast cancer dataset.
 
-Choose the best language for the task. R is best for statistical computations that are difficult to implement using SQL. For set-based operations over data, leverage the power of [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] to achieve maximum performance. Use the in-memory database engine for very fast computations over columns.
+Choose the best language for the task. R is best for statistical computations that are difficult to implement using SQL. For set-based operations over data, use the power of [!INCLUDE [ssNoVersion](../../includes/ssnoversion-md.md)] to achieve maximum performance. Use the in-memory database engine for very fast computations over columns.
 
 ### Step 4: Operationalize your solution
 
 Standalone servers can use the [operationalization](/machine-learning-server/what-is-operationalization) functionality of the non-SQL-branded [Microsoft Machine Learning Server](/machine-learning-server/what-is-machine-learning-server). You can configure a standalone server for operationalization, which gives you these benefits: deploy and host your code as web services, run diagnostics, test web service capacity.
 
 ### Step 5: Maintain your server
 
-SQL Server releases cumulative updates on a regular basis. Applying the cumulative updates adds security and functional enhancements to an existing installation. 
+SQL Server releases cumulative updates on a regular basis. Applying the cumulative updates adds security and functional enhancements to an existing installation.
 
-Descriptions of new or changed functionality can be found in the [CAB Downloads](../install/sql-ml-cab-downloads.md) article and on the web pages for [SQL Server 2016 cumulative updates](https://support.microsoft.com/help/3177312/sql-server-2016-build-versions) and [SQL Server 2017 cumulative updates](https://support.microsoft.com/help/4047329). 
+Descriptions of new or changed functionality can be found in the [CAB Downloads](../install/sql-ml-cab-downloads.md) article and on the web pages for [SQL Server 2016 cumulative updates](https://support.microsoft.com/help/3177312/sql-server-2016-build-versions) and [SQL Server 2017 cumulative updates](/troubleshoot/sql/releases/sqlserver-2017/build-versions).
 
 For more information on how to apply updates to an existing instance, see [Apply updates](../install/sql-machine-learning-standalone-windows-install.md#apply-cu) in the installation instructions.
 
-## See also
+## Related content
 
- [Install R Server (Standalone) or Machine Learning Server (Standalone)](../install/sql-machine-learning-standalone-windows-install.md)
+- [Install R Server (Standalone) or Machine Learning Server (Standalone)](../install/sql-machine-learning-standalone-windows-install.md)