El Bruno

Hi!

I had an amazing time with the Dev.Next team in a virtual session. The agenda was great, I joined a couple of session and it was great ! Take a look at the full set of contents here. Recording sessions soon !

Important: the event was postponed to August, and you can more information here.

Slides

Source

Updated source code soon !

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