Sumários

Classification - III

3 Dezembro 2025, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Supervised methods (cont)
    • Bagging
    • Random forests
    • Boosting: 
      • AdaBoost
      • Gradiend Boosting
      • XGBoost
  • Semi-supervised methods

Classification - II

2 Dezembro 2025, 14:00 • André Maria da Silva Dias Moitinho de Almeida

  • Supervised methods (cont)
    • Support Vector Machines (SVM)
    • Decision Trees

Classification - I

26 Novembro 2025, 09:30 • André Maria da Silva Dias Moitinho de Almeida

Computational exercises on classification 

Classification (practical)

26 Novembro 2025, 08:30 • André Maria da Silva Dias Moitinho de Almeida

Practical computational examples on classification

Classification - I

25 Novembro 2025, 14:00 • André Maria da Silva Dias Moitinho de Almeida

  • Goal: to assign data to discrete classes or categories. 
  • Overview of classification types: unsupervised and supervised
  • Performance metrics: Completeness, Contamination, Precision, Recall 
  • Unsupervised classification
    • With clustering methods 
    • With dimensionality reduction methods
  • Overview of supervised classification
    • Relation with regression
    • Validation
    • Decision boundaries
  • Supervised methods:
    • K-Nearest Neighbours