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::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-allversions"
This article describes the R tutorials and quickstarts for Machine Learning Services on SQL Server and on Big Data Clusters.
::: moniker-end
::: moniker range="=sql-server-2017||=sqlallproducts-allversions"
This article describes the R tutorials and quickstarts for SQL Server Machine Learning Services.
::: moniker-end
::: moniker range="=sql-server-2016||=sqlallproducts-allversions"
This article describes the R tutorials and quickstarts for SQL Server 2016 R Services.
::: moniker-end
Learn how to run R scripts.
Build, train, and deploy R models to SQL Server.
Learn about remote and local compute contexts.
Explore the Microsoft R packages for data science and machine learning.
Use R and a decision tree model to predict the number of ski rentals. Use notebooks in Azure Data Studio for preparing data and training the model, and T-SQL for model deployment.
Use R to develop and deploy a K-Means clustering model to categorize customers. Use notebooks in Azure Data Studio for preparing data and training the model, and T-SQL for model deployment.
For R developers new to SQL Server, this tutorial explains how to perform common data science tasks in SQL Server. Load and visualize data, train and save a model to SQL Server, and use the model for predictive analytics.
Build and deploy a complete R solution, using only [!INCLUDEtsql] tools. Focuses on moving a solution into production. You'll learn how to wrap R code in a stored procedure, save an R model to a [!INCLUDEssNoVersion] database, and make parameterized calls to the R model for prediction.
R quickstarts
If you are new to SQL machine learning, you can also try the R quickstarts.