AzureML: Anatomy of a machine learning service
نویسنده
چکیده
In this paper, we describe AzureML, a web service that provides a model authoring environment where data scientists can create machine learning models and publish them easily (http://www.azure.com/ml). In addition, AzureML provides several distinguishing features. These include: (a) collaboration, (b) versioning, (c) visual workflows, (d) external language support, (e) push-button operationalization, (f) monetization and (g) service tiers. We outline the system overview, design principles and lessons learned in building such a system.
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تاریخ انتشار 2015