Sumários

Decision tree learning

11 outubro 2021, 09:30 • Rui Henriques

Feature selection.
Association rules.
Decision tree learning.
Handling (input and output) numeric variables.
Addressing overfitting.
ID3, C4.5 and CART variants.
Introduction to linear regression.

Lab 2: Probability theory and Bayesian learning

11 outubro 2021, 09:00 • Maria Urze Osório

Exercises about ROC curve, probability theory  and bayesian learning.

Lab 2: Probability theory and Bayesian learning

11 outubro 2021, 09:00 • Andreas Miroslaus Wichert

ROC curve, Probability theory  and Bayesian learning

Lab1: Univariate Statistics, Lazy Learning and Evaluation

8 outubro 2021, 11:30 • Luís Sá Couto

Exercises about:

  • Univariate Statistics
  • Lazy Learning
  • Evaluation of Classifiers

Bayesian learning

8 outubro 2021, 08:30 • Rui Henriques

Bayesian learning.
Maximum a posteriori and maximum likelihood.
Multivariate mass and density probability functions.
Independence assumptions. Naive Bayes classification.
Introduction to information theory.
Entropy and information gain.