The overall workflow for Azure Machine Learning, shown in the figure below, moves from data preparation to model building, to training and testing, to model management and deployment.

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.

Head-to-head comparison: Azure Machine Learning vs. IBM Watson Model training and development. Azure ML offers more features for data preparation, transformation, normalization and model training ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict. Users don’t need to ...

During its Ignite 2020 conference, which kicked off virtually this morning, Microsoft announced updates to Azure Cognitive Services and Azure Machine Learning aimed at streamlining business ...

At its recent Build developer conference, Microsoft highlighted simplified automated machine learning with three approaches: code-first, drag-and-drop and no-code, the latter of which is now ...