SQL Server Features Components

SQT09 Secure Machine Learning with SQL Server


4:15pm - 5:30pm

Level: Intermediate

Buck Woody

Applied Data Scientist, Azure Data Services Team


Microsoft SQL Server has multiple methods to create, train, and serve Machine Learning models. The advantages of using SQL Server for this process are that the data stays completely contained within the security boundaries of your SQL Server environment, your developers use familiar Transact-SQL statements to interact with the model, and Data Scientists use the tool of their choice – Python or R to develop models. In this session Buck Woody, an Applied Data Scientist will lead you through the concepts of Machine Learning in SQL Server and show you two practical tutorials you can use at your organization.