A drag-and-drop Machine learning tool launched by Microsoft
Posted on 13 May 2019

Microsoft today announced three new services that all aim to simplify the process of machine learning. These range from a new interface for a tool that completely automates the process of creating models, to a new no-code visual interface for building, training and deploying models, all the way to hosted Jupyter-style notebooks for advanced users.

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 write a single line of code, while in the backend, this updated version now supports a number of new algorithms and optimizations that should result in more accurate models. While most of this is automated, Microsoft stresses that the service provides complete transparency into algorithms, so developers and data scientists can manually override and control the process.

For those who want a bit more control from the get-go, Microsoft also today launched into preview a visual interface for its Azure Machine Learning service that will allow developers to build, train and deploy machine learning models without having to touch any code.

While these first two services clearly target novices, the new hosted notebooks in Azure Machine Learning are clearly geared toward the more experienced machine learning practitioner. The notebooks come pre-packaged with support for the Azure Machine Learning Python SDK and run in what the company describes as a secure, enterprise-ready environment. While using these notebooks it allows developers to quickly get started without the hassle of setting up a new development environment with all the necessary cloud resources.

Microsoft today announced three new services that all aim to simplify the process of machine learning. 

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. This updated version now supports a number of new algorithms and optimizations that should result in more accurate models. 

For those who want a bit more control from the get-go, Microsoft also today launched into preview a visual interface for its Azure Machine Learning service that will allow developers to build, train and deploy machine learning models without having to touch any code.

While these first two services clearly target novices, the new hosted notebooks come pre-packaged with support for the Azure Machine Learning Python SDK and run in what the company describes as a secure, enterprise-ready environment. It allows developers to quickly get started without the hassle of setting up a new development environment with all the necessary cloud resources.