fix validation warning en-us

Author: v-thepet

docs/data-guide/technology-choices/data-science-and-machine-learning.md

@@ -119,7 +119,7 @@ Use SQL Server Machine Learning Services when you need built-in AI and predictiv
 
 ## Microsoft Machine Learning Server
 
-[Microsoft Machine Learning Server](https://docs.microsoft.com/machine-learning-server/what-is-machine-learning-server) is an enterprise server for hosting and managing parallel and distributed workloads of R and Python processes. Microsoft Machine Learning Server runs on Linux, Windows, Hadoop, and Apache Spark, and it is also available on [HDInsight](https://azure.microsoft.com/services/hdinsight/r-server/) as [Microsoft Machine Learning Server (ML Server)](https://docs.microsoft.com/en-us/azure/hdinsight/r-server/r-server-overview). It provides an execution engine for solutions built using [RevoScaleR](https://docs.microsoft.com/machine-learning-server/r-reference/revoscaler/revoscaler), [revoscalepy](https://docs.microsoft.com/machine-learning-server/python-reference/revoscalepy/revoscalepy-package), and  [MicrosoftML packages](https://docs.microsoft.com/r-server/r/concept-what-is-the-microsoftml-package), and extends open-source R and Python with support for high-performance analytics, statistical analysis, machine learning, and massively large datasets. This functionality is provided through proprietary packages that install with the server. For development, you can use IDEs such as [R Tools for Visual Studio](https://www.visualstudio.com/vs/rtvs/) and [Python Tools for Visual Studio](https://www.visualstudio.com/vs/python/).
+[Microsoft Machine Learning Server](https://docs.microsoft.com/machine-learning-server/what-is-machine-learning-server) is an enterprise server for hosting and managing parallel and distributed workloads of R and Python processes. Microsoft Machine Learning Server runs on Linux, Windows, Hadoop, and Apache Spark, and it is also available on [HDInsight](https://azure.microsoft.com/services/hdinsight/r-server/) as [Microsoft Machine Learning Server (ML Server)](https://docs.microsoft.com/azure/hdinsight/r-server/r-server-overview). It provides an execution engine for solutions built using [RevoScaleR](https://docs.microsoft.com/machine-learning-server/r-reference/revoscaler/revoscaler), [revoscalepy](https://docs.microsoft.com/machine-learning-server/python-reference/revoscalepy/revoscalepy-package), and  [MicrosoftML packages](https://docs.microsoft.com/r-server/r/concept-what-is-the-microsoftml-package), and extends open-source R and Python with support for high-performance analytics, statistical analysis, machine learning, and massively large datasets. This functionality is provided through proprietary packages that install with the server. For development, you can use IDEs such as [R Tools for Visual Studio](https://www.visualstudio.com/vs/rtvs/) and [Python Tools for Visual Studio](https://www.visualstudio.com/vs/python/).
 
 Use Microsoft Machine Learning Server when you need to build and operationalize models built with R and Python on a server, or distribute R and Python training at scale on a Hadoop or Spark cluster.