Machine learning is an obvious complement to a cloud service that also handles big data. Often the major reason to collect massive amounts of observables is to predict other values of interest to the ...

With data, businesses can predict trends, such as employee attrition and energy demands in buildings. With data, gyms can figure out the best time to send renewal promotions to retain members. With ...

The Microsoft Azure Machine Learning service is a cloud service that enables developers and data scientists to build, train and deploy machine learning models.

Matt Winkler delivered a talk at Microsoft Build 2018 explaining what is new in Azure Machine Learning. The new improvements come in several areas: making development easier, single container ...

Cosmos DB's entry level pricing has come way down, opening up the service to a much broader audience. And Azure Machine Learning gets new versatility, including usability from virtually all Python ...

In that latter category is Azure Machine Learning's integration with the new Microsoft Band, the company's just-introduced fitness device.

“Successful machine learning is only as good as the data available, which is why it needs new, updated data to provide the most accurate outputs or predictions for any given need,” said ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...