The new features of Azure Machine Learning include AutoML, hyperparameter tuning, distributed deep learning, and FPGA support for specific models—all hot-button items desired by data scientists ...

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 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. BT ...

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.

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 ...

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 ...

Microsoft (MSFT) recently unveiled a new Internet-based machine learning service for its Azure cloud system to allow developers to swiftly and effortlessly build predictive analytics solutions.

Microsoft announced the release of SynapseML, an open-source library for creating and managing distributed machine learning (ML) pipelines. SynapseML runs on Apache Spark, provides a language-agnostic ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

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 ...