Azure Machine Learning is a cloud-based service that allows data scientists or developers to train, build and deploy ML models. It has a rich set of tools that makes it easy to create predictive ...

The Azure Machine Learning Studio makes quick work of generating a Web service for publishing a trained model. This simple model comes from a five-step interactive introduction to Azure ML.

Microsoft also announced that the Azure Machine Learning service now includes a software development kit, or SDK, for the Python programming language, which is popular among data scientists.

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. BT.

The Azure Machine Learning platform is built from the hardware level up. It is open to the tools and frameworks of your choice. If it runs on Python, you can do it within the tools and frameworks.

Azure Machine Learning Service offers similar transfer learning services by different names: custom vision, customizable speech and translation, and custom search. Machine learning in the cloud.

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

In that latter category is Azure Machine Learning's integration with the new Microsoft Band, the company's just-introduced fitness device.