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.

Db2 Warehouse supports in-database machine learning in Python, R, and SQL. The IDAX module contains analytical stored procedures, including analysis of variance, association rules, ...

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 ...

SQL with integrated search for data and query versatility CrateDB is a unique combination of SQL and search technology, which enables a wide range of analytics, including machine learning and ...

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.

SQL Server 2017 Meets Linux, Docker. ... That's a must-have for banks, insurance companies and a growing list of organizations that are doing predictive, machine learning and AI modeling at scale.

Splice Machine, provider of a scalable SQL database, is releasing Splice Machine 3.0, introducing disaster recovery capabilities, enhanced SQL coverage, and more. Features in Splice Machine 3.0 ...

AI and Machine Learning The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips ...

Key Takeaways Data science is one of the fastest-growing career fields today.Learning key tools like Python, SQL, and machine ...

Machine learning and AI projects often require integrating multiple data sources, such as structured and unstructured data. Integrating data from different databases or data formats can be complex ...