title	R tutorials
titleSuffix	SQL machine learning
description	This article describes R tutorials for SQL machine learning. Learn how to run scripts and build machine learning models.
author	VanMSFT
ms.author	vanto
ms.reviewer	garye, jroth
ms.date	05/07/2021
ms.service	sql
ms.subservice	machine-learning
ms.topic	tutorial
monikerRange	>=sql-server-2016\|\|>=sql-server-linux-ver15\|\|=azuresqldb-mi-current

R tutorials for SQL machine learning

::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15" 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" This article describes the R tutorials and quickstarts for SQL Server Machine Learning Services. ::: moniker-end ::: moniker range="=sql-server-2016" This article describes the R tutorials and quickstarts for SQL Server 2016 R Services. ::: moniker-end ::: moniker range="=azuresqldb-mi-current" This article describes the Python tutorials and quickstarts for Azure SQL Managed Instance Machine Learning Services. ::: moniker-end

R tutorials

::: moniker range=">=sql-server-2016||>=sql-server-linux-ver15"

Tutorial	Description
In-database R analytics for data scientists	For R developers new to SQL machine learning, this tutorial explains how to perform common data science tasks in SQL. Load and visualize data, train and save a model in a database, and use the model for predictive analytics.
In-database R analytics for SQL developers	Build and deploy a complete R solution, using only SQL tools. Focuses on moving a solution into production. You'll learn how to wrap R code in a stored procedure, save an R model in a database, and make parameterized calls to the R model for prediction.
::: moniker-end

If you are new to SQL machine learning, you can also try the R quickstarts.

Quickstart	Description
Run simple R scripts	Learn the basics of how to call R in T-SQL using sp_execute_external_script.
Data structures and objects using R	Shows how SQL uses the R to handle data structures.
Create and score a predictive model in R	Explains how to create, train, and use an R model to make predictions from new data.