Elements of Machine Learning

Scuola Universitaria Superiore IUSS Pavia Contact: [email protected]

Covered topics

• Machine learning and the «data life cycle» in healthcare
• Validation and classification metrics
• Feature extraction
• Feature selection
• ML classifiers
• Model implementation </>

Program

• Lesson #1 (September 14, 2023 | 13:00-16:00)
  

  • Overview
  • Machine learning, artificial intelligence and deep learning
  • Validation and evalulation of machine-learning models (part 1 of 2)

• Lesson #2 (September 21, 2023 | 13:00-17:00)
  

  • Validation and evalulation of machine-learning models (part 2 of 2)
  • Overfitting and underfitting
  • Feature extraction
  • Feature Selection
  • Support Vector Machine

• Lesson #3 (September 28, 2023 | 13:00-16:00)
  

  • Ensemble of classifiers (Random Forest)
  • A representative scientific paper
  • A coding example of machine-learning model (from training to model evaluation)

Material

[Slides] [Code] [Dataset] [Literature]

Comments and suggestions

Please, leave any comment/suggestion about the course TBD.