Microsoft is working to bring open source machine learning models into Azure applications and services.

Azure Machine Learning supports five environments for model development: Azure Notebooks, the Data Science Virtual Machine (DSVM), Jupyter Notebooks, Visual Studio Code, and Azure Databricks.

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

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

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.

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.

Azure Machine Learning removes various roadblocks and makes machine learning simple with its plethora of friendly and robust features. The best part is that organizations can reap the benefits of ML ...

Microsoft Office 365: How these Azure machine-learning services will make you more productive and efficient Your email has been sent Office can now suggest better phrases in Word or entire replies ...

And for non-developers, Microsoft is also bringing Azure-based machine learning models to Excel users, who will now be able to call up the AI functions that their company’s data scientists have ...

Comparing Azure Machine Learning and Databricks for your data solutions? Explore our analysis to find the best fit for your needs.