As with Aurora, developers can write a SQL query — in this case, against any data store — and based on a machine learning model they choose, return a set of data for use in an application.

The machine learning pipeline (credit: Pin-Yu Chen) Adversarial attacks that are unique to the training phase include data poisoning and backdoors. In data poisoning attacks , the attacker inserts ...

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.

Splice Machine is a scale-out SQL relational database that supports ACID (atomicity, consistency, isolation and durability) transactions, in-memory analytics and in-database 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.

Microsoft is taking the wraps off what it's calling its "next generation of Azure Machine Learning" at its Ignite IT Pro conference in Orlando on September 25.

Local software development firm Syncrony Digital is looking to develop a machine learning component for its GreenLine financial close platform.. The company says the machine learning component is ...

Stack Overflow releases its annual Developer Survey Results, which finds DevOps and machine learning are the top most important trends in the industry right now. Toggle navigation.

While perhaps not offering new conclusions about the hottest technologies in the software development arena, a new Developer Economics survey from SlashData provides more hard evidence that data ...

As machine learning becomes a top of mind business strategy for organizations, developers need to adapt to the changing role. Topics Spotlight: Solving Data Analytics Challenges ...