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HeidiSteen · HeidiSteen · commit 728266d09fb3 · 2018-12-18T13:09:36.000-08:00
diff --git a/docs/advanced-analytics/r/sql-server-r-services.md b/docs/advanced-analytics/r/sql-server-r-services.md
@@ -17,7 +17,7 @@ R Services is an add-on to a SQL Server 2016 database engine instance, used for
 
 R Services includes a base distribution of R, overlaid with enterprise R packages from Microsoft so that you can load and process large amounts of data on multiple cores and aggregate the results into a single consolidated output. Microsoft's R functions and algorithms are engineered for both scale and utility: delivering predictive analytics, statistical modeling, data visualizations, and leading-edge machine learning algorithms in a commercial server product engineered and supported by Microsoft. 
 
-R libraries include [**RevoScaleR**](r/ref-r-revoscaler.md), [**MicrosoftML (R)**](r/ref-r-microsoftml.md), and others. Because R Services is integrated with the database engine, you can keep analytics close to the data and eliminate the costs and security risks associated with data movement.
+R libraries include [**RevoScaleR**](ref-r-revoscaler.md), [**MicrosoftML (R)**](ref-r-microsoftml.md), and others. Because R Services is integrated with the database engine, you can keep analytics close to the data and eliminate the costs and security risks associated with data movement.
 
 > [!Note]
 > R Services was renamed in SQL Server 2017 to [SQL Server Machine Learning Services](../what-is-sql-server-machine-learning.md), reflecting the addition of Python.
diff --git a/docs/advanced-analytics/tutorials/machine-learning-services-tutorials.md b/docs/advanced-analytics/tutorials/machine-learning-services-tutorials.md
@@ -40,20 +40,20 @@ Key differences between R and Python support on SQL Server versus equivalent lan
 
 Start here to learn how to run R or Python from T-SQL and how to operationalize your R and Python code for a SQL production environment.
 
-+ [Python: Run Python using T-SQL](tutorials/run-python-using-t-sql.md)
-+ [R: Hello World in R and SQL](tutorials/rtsql-using-r-code-in-transact-sql-quickstart.md)
-+ [R: Handle inputs and outputs](tutorials/rtsql-working-with-inputs-and-outputs.md)
-+ [R: Handle data types and objects](tutorials/rtsql-r-and-sql-data-types-and-data-objects.md)
-+ [R: Using R functions](tutorials/rtsql-using-r-functions-with-sql-server-data.md)
-+ [R: Create a predictive model](tutorials/rtsql-create-a-predictive-model-r.md)
-+ [R: Predict and plot from model](tutorials/rtsql-predict-and-plot-from-model.md)
++ [Python: Run Python using T-SQL](run-python-using-t-sql.md)
++ [R: Hello World in R and SQL](rtsql-using-r-code-in-transact-sql-quickstart.md)
++ [R: Handle inputs and outputs](rtsql-working-with-inputs-and-outputs.md)
++ [R: Handle data types and objects](rtsql-r-and-sql-data-types-and-data-objects.md)
++ [R: Using R functions](rtsql-using-r-functions-with-sql-server-data.md)
++ [R: Create a predictive model](rtsql-create-a-predictive-model-r.md)
++ [R: Predict and plot from model](rtsql-predict-and-plot-from-model.md)
 
 ## Tutorials
 
 Build on your first experience with R and Python and T-SQL by taking a closer look at the Microsoft packages and more specialized operations such as shifting from local to remote compute contexts.
 
-+ [Python tutorials](../tutorials/sql-server-python-tutorials.md)
-+ [R tutorials](../tutorials/sql-server-r-tutorials.md)
++ [Python tutorials](sql-server-python-tutorials.md)
++ [R tutorials](sql-server-r-tutorials.md)
 
 <a name ="bkmk_samples"></a>
 
