#anomaly detector

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#Event - Resources used on the "Drones 🚁 and Anomaly Detection 📈 with ML.Net with Azure IoT" at The Global AI Virtual on Tour Oslo

#Event – Resources used on the “Drones 🚁 and Anomaly Detection 📈 with ML.Net with Azure IoT” at The Global AI Virtual on Tour Oslo

Hi ! I was lucky to have some time during the Global AI On Tour conference, for the Oslo session. I shared some insights about Anomaly Detection and using drone telemetry as the data source. I used ML.Net to perform the Anomaly Detection and later integrate all together in Azure IoT. As usual now it’s time to share the resources Slides Source Code Source Code is available…

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[elbrunoc]

#Event - Resources used on the "Drones 🚁 and Anomaly Detection 📈" at The Virtual ML.NET Community Conference, May 7/8

#Event – Resources used on the “Drones 🚁 and Anomaly Detection 📈” at The Virtual ML.NET Community Conference, May 7/8

Hi ! I was lucky to have some time during the Virtual ML.Net conference yesterday with the amazing team and attendees. I shared some insights about Anomaly Detection and using drone telemetry as the data source. As usual now it’s time to share the resources Slides Source Code Source Code is available here Recording Happy coding! Greetings El Bruno ¿Con ganas de ponerte al día? En…

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[elbrunoc]

#Event - Drones 🚁 and Anomaly Detection 📈 at The Virtual ML.NET Community Conference, May 7/8

#Event – Drones 🚁 and Anomaly Detection 📈 at The Virtual ML.NET Community Conference, May 7/8

Hi ! April is gone, and also my event-free calendar until May. And I’m super lucky to host a session at the Virtual ML.Net Community Conference The Virtual ML.NET Community Conference is a 2-day community driven conference on all things ML.NET.The conference will be streamed live on Twitch and YouTube.It’s 100% free and open for everyone. The talks will be both technical and inspirational. We…

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[elbrunoc]

#Event – Resources used in the #devdotnextdigital session around Anomaly Detection #devdotnext2020

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 !

Ref…

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[elbrunoc]

#Event – (update) @devdotnext now in virtual mode ! #devdotnext2020

Hi!

These are strange days, however we all try to do our best to move forward. An important part of today’s behaviors is to try to avoid big events. That’s why, in the last 2 weeks, we get news about events being cancelled all over the world.

I have a plan to visit Colorado, US, in a couple of weeks for the Dev.Next event. However, due to Covid-19, the event was postponed to August (mo…

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[elbrunoc]

#CognitiveServices – #AnomalyDetector Service running on Containers (some #docker time!)

#CognitiveServices – #AnomalyDetector Service running on Containers (some #docker time!)

Hi!

I was chatting about the new features and the use cases supported using the brand new (and still in Preview) Cognitive Services Anomaly Detector and I realized that we can use the service with local containers (instead of the cloud service), but there is something different in this Service.

Why to use containers?

Azure Cognitive Services allow developers to easily add…

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[elbrunoc]

#CognitiveServices – Easy lines to convert CSV to JSON to be used on the #AnomalyDetector service

Hi!

After the event “Building an Anomaly Detector System with a few or no lines of code” at MsftReactor, some people asked for the 2 lines that I used to convert a CSV file to JSON, to be used with Cognitive Services Anomaly Detector, so here they are.

Important: you need Newtonsoft.Json to build the json content.

The input CSV is part of the Machine Learning.Net sample data,…

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[elbrunoc]

#Event – Resources used during my session “Building an Anomaly Detector System with a few or no lines of code” @MsftReactor

#Event – Resources used during my session “Building an Anomaly Detector System with a few or no lines of code” @MsftReactor

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 [slideshare…

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