One, Azure Machine Learning Designer, lets you work with your existing data with a set of visual design tools and drag-and-drop controls.

The Azure Machine Learning studio web experience is generally availabl, enabling data scientists and data engineers to complete their end-to-end machine learning lifecycle from prepping and ...

The Azure Machine Learning Studio was introduced way back in 2014. The new web offering helps developers build and train custom models, and then deploy and manage them to the cloud or edge, while ...

Designer supports connecting modules to create pipeline drafts and submitting pipeline runs using Azure Machine Learning workspace resources.

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.

Matt Winkler delivered a talk at Microsoft Build 2018 explaining what is new in Azure Machine Learning. The new improvements come in several areas: making development easier, single container ...

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.

While drag-and-drop tools in the Azure Machine Learning designer democratize access to machine learning models for non-coders, the Azure Machine Learning Python SDK allows pros to build models ...

Introducing Azure Percept The question is how to build and deploy a safety-oriented machine learning system quickly?