Machine Learning Using Heart Sound Classification Example
Explore machine learning techniques in practice using a heart sounds application. Through demonstration, we'll cover:
- Classifying normal and abnornal heart sounds
- Hyperparameter tuning to optimize the model
- Reducing dimensionality and identifying import features using advanced feature selection techniques
- Code generation for deployment in embedded devices and enterprise applications
The heart sounds application was featured in the 2016 PhysioNet/Computing in Cardiology Challenge.
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