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.

By taking advantage of tools like Amazon QuickSight, Aurora and Athena in combination with SQL queries, developers can have much more direct access to machine learning models and underlying data ...

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.

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 ...

This contribution comes from Monte Zweben, CEO of Splice Machine — the company is known for its scale-out database built with Machine Learning (ML) capabilities.

The latest trends in software development from the Computer Weekly Application Developer Network. Professor Clough argues that the adoption of Machine Learning (ML) and Artificial Intelligence (AI ...

Python has reached 7 million active developers and is closing in on Java in terms of popularity, thanks to 62 percent of machine learning developers and data scientists who now use Python. DevOps has ...