The new features of Azure Machine Learning include AutoML, hyperparameter tuning, distributed deep learning, and FPGA support for specific models. Azure Machine Learning, by contrast, embraces ...

which lets users use Hadoop and Storm to create distributed, real-time data processing solutions in Azure; and Azure Machine Learning, a managed cloud service for advanced analytics. Azure Machine ...

who led the reimagining of the Azure Machine Learning service. “We have come back with a Python SDK that lights up a number of different features.” These features include distributed deep ...

Microsoft's geographically distributed NoSQL service has been ... Microsoft is announcing the general availability (GA) of the Azure Machine Learning service. Mary Jo Foley has covered the GA ...

Azure Machine Learning supports writing Python or R code ... to model training on containerized distributed clusters, to deploying and tracking models in production. You can run the HPE Ezmeral ...

As data volumes surge across every industry and machine learning tools become more accessible, predictive analytics is evolving from a niche discipline into a cornerstone of application innovation.

Azure ML is designed to help with machine learning lifecycle management (MLOps ... a leading solution for big data processing and distributed computing, Databricks’ lakehouse architecture ...

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.

Microsoft has expanded the data-analysis offerings on its Azure cloud, offering a machine learning service to help organizations derive more insight from mountains of unstructured data.