Machine Learning is finding its way into various microcontroller-based IoT devices. Unfortunately, embedded software developers typically aren’t experienced in machine learning, making designing these new device types challenging.
In this workshop, attendees will learn hands-on about machine learning using the inexpensive Raspberry Pi Pico. We will introduce machine learning concepts and how they affect embedded software developers. Attendees will then get the opportunity to collect their dataset, train, and deploy a machine-learning model to their Raspberry Pi Pico.
Topics covered in this session include:
- Introduction to machine learning
- A Raspberry Pi Pico overview
- Hands-on data collection and model training
- Model validation, testing, and deployment
- Next steps
The hands-on portion is optional, but if you wish to participate, the following hardware will be required:
We will discuss several machine learning frameworks and tools, but the hands-on piece will use Edge Impulse Studio.
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