Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Machine learning (ML)-based approaches to system ... This approach uses example data to train a model to enable the machine to learn how to perform a task. ML training is highly iterative with each ...

The key to developing flexible machine-learning models ... In other words, the training protocol helped the model excel in one type of task: learning the patterns in a fake language.

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

Microsoft announced on-device training of machine language models with the open source ONNX Runtime (ORT). The ORT is a cross-platform machine-learning model accelerator, providing an interface to ...