Azure Machine Learning Pipelines allow the data scientist to modularize model training into discrete steps such as data movement, data transforms, feature extraction, training, and evaluation.

Azure Machine Learning Studio does a good job of helping you design training and prediction pipelines for machine learning with a graphical user interface, as we’ve seen.

The ‘Machine Learning lifecycle management and possibilities with Azure Machine Learning’ webinar presented exciting insights and an interesting demo.

This tool, the Azure Machine Learning visual interface, looks suspiciously like the existing Azure ML Studio, Microsoft’s first stab at building a visual machine learning tool.

Microsoft debuts ND H200 v5 VMs in Azure ML, powered by NVIDIA H200 GPUs for faster AI training, larger models, and ...

Ahead of its annual Build developer conference, Microsoft announced a slew of new features heading to its Azure Machine Learning service.

Microsoft is joining the Databricks-backed MLflow project for machine learning experiment management. Already present in Azure Databricks, a fully managed version of MLflow will be added to Azure ...