AzureML: Anatomy of a machine learning service

AzureML Team
Proceedings of The 2nd International Conference on Predictive APIs and Apps, PMLR 50:1-13, 2016.

Abstract

In this paper, we describe AzureML: a web service enabling software developers and data scientists to build predictive applications. AzureML provides several unique features. These include (a) Collaboration (b) Versioning (c) Graphical authoring(d) Push button operationalization and (e) Monetization. We outline the design principles, system design and lessons learned in building such a system.

Cite this Paper

BibTeX
@InProceedings{pmlr-v50-azureml15, title = {AzureML: Anatomy of a machine learning service}, author = {Team, AzureML}, booktitle = {Proceedings of The 2nd International Conference on Predictive APIs and Apps}, pages = {1--13}, year = {2016}, editor = {Dorard, Louis and Reid, Mark D. and Martin, Francisco J.}, volume = {50}, series = {Proceedings of Machine Learning Research}, address = {Sydney, Australia}, month = {06--07 Aug}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v50/azureml15.pdf}, url = {https://proceedings.mlr.press/v50/azureml15.html}, abstract = {In this paper, we describe AzureML: a web service enabling software developers and data scientists to build predictive applications. AzureML provides several unique features. These include (a) Collaboration (b) Versioning (c) Graphical authoring(d) Push button operationalization and (e) Monetization. We outline the design principles, system design and lessons learned in building such a system.} }
Endnote
%0 Conference Paper %T AzureML: Anatomy of a machine learning service %A AzureML Team %B Proceedings of The 2nd International Conference on Predictive APIs and Apps %C Proceedings of Machine Learning Research %D 2016 %E Louis Dorard %E Mark D. Reid %E Francisco J. Martin %F pmlr-v50-azureml15 %I PMLR %P 1--13 %U https://proceedings.mlr.press/v50/azureml15.html %V 50 %X In this paper, we describe AzureML: a web service enabling software developers and data scientists to build predictive applications. AzureML provides several unique features. These include (a) Collaboration (b) Versioning (c) Graphical authoring(d) Push button operationalization and (e) Monetization. We outline the design principles, system design and lessons learned in building such a system.
RIS
TY - CPAPER TI - AzureML: Anatomy of a machine learning service AU - AzureML Team BT - Proceedings of The 2nd International Conference on Predictive APIs and Apps DA - 2016/06/05 ED - Louis Dorard ED - Mark D. Reid ED - Francisco J. Martin ID - pmlr-v50-azureml15 PB - PMLR DP - Proceedings of Machine Learning Research VL - 50 SP - 1 EP - 13 L1 - http://proceedings.mlr.press/v50/azureml15.pdf UR - https://proceedings.mlr.press/v50/azureml15.html AB - In this paper, we describe AzureML: a web service enabling software developers and data scientists to build predictive applications. AzureML provides several unique features. These include (a) Collaboration (b) Versioning (c) Graphical authoring(d) Push button operationalization and (e) Monetization. We outline the design principles, system design and lessons learned in building such a system. ER -
APA
Team, A.. (2016). AzureML: Anatomy of a machine learning service. Proceedings of The 2nd International Conference on Predictive APIs and Apps, in Proceedings of Machine Learning Research 50:1-13 Available from https://proceedings.mlr.press/v50/azureml15.html.

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