A working knowledge of machine learning (ML) is becoming an increasingly important part of many C# developers' skill sets. And virtually every significant ML technique uses vectors and matrices.

VSM Senior Technical Editor Dr. James McCaffrey, of Microsoft Research, explains why inverting a matrix -- one of the more common tasks in data science and machine learning -- is difficult and ...

On this journey of improvement, a fail-fast approach in AI can help you quickly identify what doesn’t work and change to a better approach.

When we talk about machine learning, we’re mostly referring to extremely clever algorithms. In 1950 mathematician Alan Turing argued that it’s a waste of time to ask whether machines can think.

Nucleus Research Releases 2024 Data Science and Machine Learning (DSML) Platform Technology Value Matrix Leaders in the DSML market include Alteryx, Amazon, Databricks, Dataiku, Microsoft, and SAS.