But it was SQL Server’s new machine learning tools that grabbed my attention. Machine learning remains one of Microsoft’s big themes for 2017, and it’s an important segment of SQL Server 2017.

Leveraging SQL Server Machine Learning Services (R and Python) for Data Insights SQL Server Machine Learning Services (MLS) has enabled Nithin to run advanced analytics directly within the database.

Over a month after SQL Server 2019 became generally available, Microsoft has now shined light on some more aspects of the improved machine learning capabilities offered with this release.

Microsoft SQL Server Machine Learning and R Services are in-database installations of machine learning that operate within the context of a SQL Server database engine instance, providing R and Python ...

Review: SQL Server 2017 adds Python, graph processing and runs on Linux Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows.

This limitation also applies to SQL Server Machine Learning Services in R and Python. Announcing SQL Server Diagnostic Extensions for SSMS SQL Server creates stack dumps when there are very serious ...