Abstract:
Starting several years back, Microsoft began adding machine learning services directly into both the on-premises and Azure managed instance SQL Server products, with additional functionality in each subsequent version. This feature allows for efficient in-database processing of the source data without the need to move it across the network.
In this session, we’ll take a closer look at ML Services: what it takes to set it up, how it works, what languages are compatible, options available, and the advantages to using in-database processing.
Finally, we’ll apply what we’ve learned and use SQL ML Services to try and predict major league baseball scores based on historical data.
- Slide deck (PDF) (482KB)
- Scripts (5 KB)
- Database (3 MB) used by the scripts. Last updated 08 April 2022.