In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of ...

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 ...

Adversarial attacks are different from other threats programmers face, so they need to understand the weak spots in machine learning.

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.

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

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.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Career Outlook Get your career started by working in one of the following roles: Data Scientist, Software Developer, Machine Learning Engineer, Natural Language Processing Engineer, Data Analyst, ...

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 ...

Databricks, the primary commercial steward behind the popular open source Apache Spark project, published a new report indicating the technology is still red-hot, driven by more use of SQL, streaming ...