Coming to grips with machine learning needn’t require vast amounts of labeled data, a team of data scientists, and a lot of compute time. The state of the art in modern artificial intelligence has ...

Last year, organizations around the world, across all industries, were forced to leverage new technologies on multiple fronts to accommodate a new normal. The adoption of AI and machine learning saw ...

Microsoft has been serious about helping data scientists track and manage their machine learning experiments for some time now. For example, the company's Azure Machine Learning (Azure ML) cloud ...

Microsoft shipped the first release candidate of Azure DevOps Server 2019, the self-hosted, on-premises version of the company's DevOps solution that used to be known as Team Foundation Server (TFS).

The discussion has been open for a while now. We know we want Machine Learning (ML) to be able to drive the Artificial Intelligence (AI) and smart automation that we demand in tomorrow’s software -- ...