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 ...

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 ...

And now, at this year's Ignite, Microsoft continues adding capabilities to the service with Arc-enabled machine learning. This capability allows customers to build models with Azure Machine ...

Predicting the future: Microsoft adds machine learning to Azure cloud platform. by Blair Hanley Frank on June 16, 2014 at 11:17 am June 16, 2014 at 12:05 pm. Share ...

An Azure Machine Learning capability called interpretability explains what model parameters were most important in any given case of suspected fraud. Photo courtesy of SAS. Editor’s note: A previous ...

As we wrote in June, “The product is built on the machine learning capabilities already available in several Microsoft products including Xbox and Bing and using predefined templates and ...

The learning process. Microsoft has a five-step introductory interactive tour of Azure Machine Learning that it will run for you at the drop of a hat. It’s impressive how quickly Azure Machine ...

Azure Machine Learning is built with strong, enterprise-grade security features to protect data, models, and the entire machine learning workflow. It leverages Azure's Role-Based Access Control (RBAC) ...

6 Benefits of Azure Machine Learning. Apart from being a simple to deploy service, Azure ML possesses various exceptional features too. It allows data scientists to pull data from a range of different ...

To whet our appetites, the company has unveiled a crop of new Azure and Internet-of-Things services with, as we should no doubt expect these days, a focus on machine learning and blockchain.