News
While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.
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.
These fully managed cloud-native smart data services empower developers to build cloud-native database and machine learning (ML) applications in SQL environments with ease.
If you're into data and databases and you have not heard the term 'machine learning,' may I suggest that you're not reading enough? This technology is hot and hyped, largely because it is the secret ...
Microsoft Corp. has just released a new version of its R Server analytics platform, the headline act in a number of announcements Wednesday that touch on databases, data analytics and cloud ...
BERKELEY, Calif., Oct. 12, 2020 — MindsDB, the open source AI layer for existing databases, today announced their official integration with the widely used open source relational database, MariaDB ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results