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Introduction To MLOps for IoT Devices

10 januari, 2022 | 5:00 em - 6:00 em (UTC) Samordnad universell tid

Format:
Livestream

Område: IoT/Edge Computing

Språk: Engelska

MLOps is a set of best-practices applied to the lifecycle of a machine learning model. In this session, we will cover some of the aspects of MLOps, why those are essential, and how you can apply some of them to edge devices.

Who should attend?
If you are working with Machine Learning models with IoT or edge devices, you’ll want to join this session to find out more about how to have solid and reproducible deployments to remote devices.

Please use these resources as reference for this session:
https://github.com/onnx/models/tree/master/text/machine_comprehension/roberta
https://www.oreilly.com/library/view/practical-mlops/9781098103002/
https://aka.ms/MLOpsforIoT - free learn module
https://github.com/alfredodeza/flask-app
https://azure.microsoft.com/en-us/services/iot-hub/

Questions? Reach out to Alfredo on linkedin: https://www.linkedin.com/in/alfredodeza/ or Ornella on twitter: @ornelladotcom

Talare

Alfredo Deza
- Principal Cloud Advocate
Microsoft
Ornella Altunyan
- Cloud Advocate 2
Microsoft