ACE (Azure AI Customer Engineering) team

TODO: Add Team's description...

Tech Community ACE Blog

Repositories

The repositories listed here are created and maintained by the ACE team.

Repository	Description
MLOPS_VideoAnomalyDetection	Video Anomaly Detection with Azure ML
datascience4managers	Generalization, Utility, and Experimentation: ML Concepts for Making Better Business Decisions
icse2019	ICSE Tutorial on Scalable Data Science with Python and R
kdd2017r	KDD 2017 Tutorial: Using R for Scalable Data Science
[REPO NAME](repo url)	Sample description...
[REPO NAME](repo url)	Sample description...
[REPO NAME](repo url)	Sample description...

End to End Solutions

The repositories listed here are end-to-end solutions created and maintained by the ACE team.

Repository	Description
Luna v1	Sell your application through Azure Marketplace SaaS offer using Project Luna
Ditsributed Training of Image Segmentation	Distributed training of Image segmentation on Azure Machine Learning
Knowledge Mining getting started	Microsoft Azure Knowledge Mining getting started sample

General

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.