Microsoft announced the Azure Machine Learning studio web experience is generally available. The company yesterday (July 8) announced the advancement to GA, with a bevy of new features touching upon ...

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.

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 ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

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.

The Visual Studio Code (VS Code) extension for Azure Machine Learning is now generally available. It enables users to use their favorite VS Code environment – whether desktop or web – to ...

Head-to-head comparison: Azure Machine Learning vs. IBM Watson Model training and development. Azure ML offers more features for data preparation, transformation, normalization and model training ...

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. Indeed, the two ...