
Hi!
My 1st session at Microsoft Reactor and it was amazing. We had engaging conversations around Machine Learning and Anomaly Detection, and as I promised here are the resources used.
Building an Anomaly Detector System with a few or no lines of code
More Information https://www.microsoftevents.com/profile/form/index.cfm?PKformID=0x8330114abcd
Slides
Source Code
https://github.com/elbruno/events/tree/master/2019%2011%2021%20Anomaly%20Detections%20Reactor
Reference Links
General
- Introduction to Anomaly Detection: Concepts and Techniques https://iwringer.wordpress.com/2015/11/17/anomaly-detection-concepts-and-techniques/
- Introduction to Anomaly Detection https://www.coursera.org/lecture/ai/introduction-to-anomaly-detection-ASPv0
Machine Learning.Net
- Get started at http://dot.net/ml
- Try the samples at http://aka.ms/mlnetsamples
- Read the docs at http://aka.ms/mlnetdocs
Cognitive Services Anomaly Detector
- Anomaly Detector https://azure.microsoft.com/en-us/services/cognitive-services/anomaly-detector
- Best practices for using the Anomaly Detector API https://docs.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/concepts/anomaly-detection-best-practices
- Quickstart: Anomaly Detector client library for .NET https://docs.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/quickstarts/detect-data-anomalies-csharp-sdk?tabs=windows
- Anomaly Detector on-premise with container support https://channel9.msdn.com/Shows/AI-Show/Bring-Anomaly-Detector-on-premise-with-containers-support
Azure Machine Learning
- What is Azure Machine Learning? https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml
- Azure Machine Learning documentation https://docs.microsoft.com/en-us/azure/machine-learning/
- Start building machine learning models faster than you think https://myignite.techcommunity.microsoft.com/sessions/82993
- Machine learning operations: Applying DevOps to data science https://myignite.techcommunity.microsoft.com/sessions/83003
Happy coding!
Greetings @ Toronto
El Bruno
Thank you for the materials
LikeLike