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 andoptimize 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:
