A common IoT scenario is collecting data from various sensors and devices. Often communicating with different protocols and setups. To be able to use that data, the user must normalize and prepare the data for further processing.
Key Takeaways
How to:
- Collect data from heterogeneous sources
- Optimize the data stream: Remove invalid data, Select relevant data and Adding meta data
- Align asynchronous serial sensor data streams to match ML model requirements
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