When the canned Azure Machine Learning Studio modules don’t do what you want, you can develop Python or R modules. The Azure Machine Learning Studio makes quick work of generating a Web service ...

You provide an existing experiment, specify the hyperparameters you want to sweep (such as the learning and dropout rates), and Azure Machine Learning will perform the variational study for you ...

And if you want to create machine learning systems that integrate and scale, you’ll have to learn cloud platforms such as Amazon AWS, Microsoft Azure, and Google Cloud.

The Azure Machine Learning platform is built from the hardware level up. It is open to the tools and frameworks of your choice. If it runs on Python, you can do it within the tools and frameworks.

Office can now suggest better phrases in Word or entire replies in Outlook, design your PowerPoint slides, and coach you on presenting them. Microsoft built those features with Azure Machine ...

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 ...

To do so, first you have to create a Linux Virtual Machine on Azure. Be sure to select a Virtual Machine in the appropriate region for the content that you want to access. Once the Virtual Machine is ...

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.

The company was able to push 2.5 petabytes worth of Bing Maps satellite photo data through Azure machine learning to construct the virtual world of Flight Simulator. You could say it's really the ...