Now anyone can be a model designer with assistive tooling and a new automated ML development service. All you need is data. Machine learning is an important part of modern application development ...

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

Your packages have arrived In addition to the AMLHAM-based ResNet50 model, Microsoft is also rolling out a preview of Azure Machine Learning "packages" for vision, text and forecasting.

Helping simplify the process for firms building their own machine learning model is Azure Machine Learning. Launched in 2014, this managed data science platform provides many of the components ...

Assess the fairness of a model predictions (learn more in the Build fairer machine learning models article). Upload, list and download fairness assessment insights to/from Azure Machine Learning ...

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 automates machine learning to make it easier to build, train and deploy models. The service is generally available now, with pricing to go into effect February 1, 2019.

Microsoft has announced new capabilities to its cloud-based machine learning platform. A new project to advance machine teaching methods has also been released in the form of a public preview.

The technology that turns petabytes of data into useful features that machine learning models can use already works on Azure.

Microsoft rolled out updates across its AI and machine learning cloud portfolio during its Ignite 2020 virtual conference.