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.