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.
You will learn:
- Understand the ML Capabilities of SQL Server
- Leverage Models for Production
- The process for creating a Data Science Project