Machine learning workflows often involve time-consuming, repetitive -- and tedious -- tasks. Automated machine learning tools streamline these processes, saving time, reducing manual effort for ...

Dr. James McCaffrey provides hands-on examples in introducing ML.NET, for machine learning prediction models, and AutoML, which automatically examines different ML algorithms, finds the best one, and ...

Machine learning (ML) is the sci-fi sounding concept of computers teaching themselves. In ML, you supply some data representing the type of content that you want the machine learning model to process ...

There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy ...

This month Google revealed a major new approach to A.I. development that seems to call out to the most sensational and apocalyptic predictions in all of science fiction. Called “AutoML” for ...

The two biggest barriers to the use of machine learning (both classical machine learning and deep learning) are skills and computing resources. You can solve the second problem by throwing money at it ...

This past month I attended the AI for Finance show in New York where I was the host for a one-hour "tech talk" on the subject of AutoML in the world of financial services. With over 150 people in ...

Microsoft ML.NET is a code library for .NET Core (the multi-platform version of the .NET Framework). The ML.NET library allows you to use C# to create, train, and use three types of machine learning ...