Science Daily

Machine learning models can produce reliable results even with limited training data

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.
VentureBeat

What is supervised machine learning?

The training process for artificial intelligence (AI) algorithms is designed to be largely automated innately. There are often thousands, millions or even billions of data points and the algorithms ...
TechRepublic

The Simple ML release and its big data implications for Sheets users

Google’s Simple ML has been released in beta for Sheets users. What could this mean for your big datasets? Last week, Google announced and released a beta version of Simple ML for Sheets, a TensorFlow ...
EurekAlert!

Learning to be simple: machine learning uncovers structures in finite simple groups

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...
InfoWorld

Using Hugging Face machine learning models in Azure

Microsoft’s recent Azure Open Source Day showed off a new reference application built using cloud-native tools and services, with a focus on Microsoft’s own open source tools. The app was built to be ...