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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.

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