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 ...

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 ...

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 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 ...

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.

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 ...

Reportedly, the service will be priced at a premium to Azure's regular charges ... The new service will bring together machine learning abilities, which have been developed for several Microsoft ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

If you are using Spark to do distributed processing, it means you have lots of data." Also: Opinionated and open machine learning ... currently AWS SageMaker and Azure ML, leveraging advanced ...