A machine learning core (MLC) is an engine trained to trigger an action when a specific event is detected using decision tree learning. Sensors embedding an MLC can accurately recognize precise movements and communicate the event to a processor and optimize system energy efficiency.
What you'll learn
- Machine learning key concepts
- Standard vs machine learning algorithm approach
- The five key steps to AI project success
- Machine learning embedded in ST sensors
- Decision tree algorithm: the problem, the features, and the desired output
- ML model training
- MLC training process
- Data collection–ST hardware and software tools, featuring calculations
- Dataset split: training and test
- Data inspection and cleaning
Ready to get started?
The videos are available in our YouTube playlist embedded below, or at the following URL:
https://www.youtube.com/playlist?list=PLnMKNibPkDnFk_5PXBnjXDFxiCZGB2_Pt
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