Acrolinx fixes

Author: jeannt

docs/advanced-analytics/r/installing-ml-components-without-internet-access.md

@@ -44,7 +44,7 @@ Typically, setup of the machine components used in SQL Server 2016 and SQL Serve
 
 **For R**
 
-The R language is supported in both SQL Server 2016 and SQL Server 2017. Two different installers are required, for open source and propretary components. The SQL Server setup wizard ensures that they are installed in the correct order.
+The R language is supported in both SQL Server 2016 and SQL Server 2017. Two different installers are required, for open source and proprietary components. The SQL Server setup wizard ensures that they are installed in the correct order.
 
 + Installers with **SRO** in the name provide the open source components.
 + Installers with **SRS** in the name contain components provided by Microsoft, including those for database integration.

docs/advanced-analytics/r/installing-sql-server-r-services-on-an-azure-virtual-machine.md

@@ -30,7 +30,7 @@ If you deploy an Azure virtual machine that includes [!INCLUDE[ssCurrent](../../
 
 ## Create a new SQL Server 2017 virtual machine
 
-To use R or Python in SQL Server 2017, be sure to get a Windows-based virtual machine. SQL Server 2017 on Linux supports fast [native scoring](../sql-native-scoring.md) using the T-SQL PREDICT funciton, but other machine learning features are not available yet in this edition.
+To use R or Python in SQL Server 2017, be sure to get a Windows-based virtual machine. SQL Server 2017 on Linux supports fast [native scoring](../sql-native-scoring.md) using the T-SQL PREDICT function, but other machine learning features are not available yet in this edition.
 
 For a list of SQL Server VM offerings, see this article: [Overview of SQL Server on Azure Virtual Machines (Windows)](https://docs.microsoft.com/azure/virtual-machines/windows/sql/virtual-machines-windows-sql-server-iaas-overview).
 
@@ -52,7 +52,7 @@ For a list of SQL Server VM offerings, see this article: [Overview of SQL Server
     WITH RESULT SETS (([Sequence] int NOT NULL));
     ```
 
-6. If you will be connecting to the instance from a remote data science client, complete [additional steps](#additional-steps) as necessary.
+6. If you plan to connect to the instance from a remote data science client, complete [additional steps](#additional-steps) as necessary.
 
 ### Disable machine learning features on a SQL Server VM
 

docs/advanced-analytics/r/machine-learning-services-r-reference.md

@@ -26,7 +26,7 @@ This article provides links to the reference documentation for machine learning
 For the most part, SQL Server consumes the same R and Python libraries that are provided in Microsoft R Server and Microsoft Machine Learning Server. 
 
 > [!NOTE]
-> Documentation for all APIs is derived from source code and has not been edited. If you see errors, please add a comment in the API rference documentation. 
+> Documentation for all APIs is derived from source code and has not been edited. If you see errors, please add a comment in the API reference documentation. 
 
 ## R
 

docs/advanced-analytics/r/set-up-a-data-science-client.md

@@ -84,7 +84,7 @@ This example uses Visual Studio 2017 Community Edition, with the data science wo
 
 1. From the **File** menu, select **New** and then select **Project**.
 
-2. The lefthand pane contains a list of preinstalled templates. Click **R**, and select **R Project**. In the **Name** box, type `dbtest` and click **OK**.
+2. The -hand pane contains a list of preinstalled templates. Click **R**, and select **R Project**. In the **Name** box, type `dbtest` and click **OK**.
 
 3. Visual Studio creates a new project folder and a default script file, `Script.R`.