TinyML Auto ML Deep Dive: Streaming Analytics for Edge Devices

TinyML Auto ML Deep Dive: Streaming Analytics for Edge Devices

tinyML via YouTube Direct link

Streaming analytics to a monitoring center

18 of 31

18 of 31

Streaming analytics to a monitoring center

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TinyML Auto ML Deep Dive: Streaming Analytics for Edge Devices

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  1. 1 Introduction
  2. 2 About Stream Analyze
  3. 3 What is it used for
  4. 4 Community Edition
  5. 5 Studio
  6. 6 Studio Tabs
  7. 7 Normal Settings
  8. 8 Output Window
  9. 9 Raspberry Pi
  10. 10 Raspberry Pi Zero
  11. 11 Documentation
  12. 12 Demo
  13. 13 Sensor values
  14. 14 Temperature readings
  15. 15 Pressure readings
  16. 16 Combining values into single stream
  17. 17 Get readings function
  18. 18 Streaming analytics to a monitoring center
  19. 19 MQTT client registration
  20. 20 Setting up a listener
  21. 21 Publishing a stream
  22. 22 Reading the readings
  23. 23 Publishing the stream
  24. 24 Testing the stream
  25. 25 Monitoring the data
  26. 26 Linear transformation
  27. 27 C2F function
  28. 28 Derivative
  29. 29 Running the model
  30. 30 QA Session
  31. 31 Conclusion

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