To demonstrate the new machine learning capabilities in its Azure cloud, Microsoft has set up a Web site that guesses the ages of people in uploaded photos.

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

The tools in Azure Machine Learning include an easy-to-use visual interface, starter templates and drag and drop workflows. It’s also simple to load data without any programming. “Two or three decades ...

Machine learning is fast becoming the go-to predictive paradigm for data scientists and developers alike. Of the many tools available for tapping neural networks, Microsoft’s Azure ML Studio ...

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 ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

This capability allows customers to build models with Azure Machine Learning anywhere, including on-premises, multi-cloud environments, and at the edge.

Cosmos DB's entry level pricing has come way down, opening up the service to a much broader audience. And Azure Machine Learning gets new versatility, including usability from virtually all Python ...

See what features you can expect from Azure Machine Learning and IBM Watson to decide which AI software to choose.

To demonstrate the new machine learning capabilities in its Azure cloud, Microsoft has set up a website that guesses the ages of people in uploaded photos. The site, How Old Do I Look, is meant to ...