Microsoft is opening its Azure Machine Learning Service for data scientists and developers so they can use the cloud-based offering to quickly build and train Machine learning (ML) models, and then roll them out into production.
The Azure Machine Learning Service was first made available in September and will be generally available starting February 1 next year, Microsoft said on December 4 at a virtual event called Microsoft Connect (), a conference annual developer focused on cloud and data. .
With Azure Machine Learning Service, developers can eliminate most of the heavy lifting that goes into building and training ML models, the software giant said.
Some of the main features of the service include the ability to automate the selection and fitting of the ML model.
So the biggest benefit is a reduction in the time it takes to get those models up and running, the company said.
There is also a new update to the Microsoft Azure Cosmos DB database service, providing distribution across Azure regions for organizations that need Artificial intelligence (AI) -based applications run reliably on a global scale.
The new Azure Cosmos DB shared performance offering was made available on Tuesday.
Microsoft also announced the update to some of its Azure Cognitive Services to make it easier for developers to create more AI features in their applications.
The company said Azure cognitive services are a collection of application programming interfaces that enable applications to “see, hear, speak, understand and interpret” people’s needs through natural methods of communication.