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 ...

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.

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 ...

“When Azure Machine Learning arrives, it’s so easy to use, and the cost of producing an API is so low, it becomes easy for data scientists and developers to make fully machine learning APIs in ...

The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict. Users don’t need to ...

Microsoft first launched Machine Learning as a preview in June 2014, though did not state when the service would go live. Early users include the Pier 1 retail chain, Carnegie Mellon University ...