• Base

  • ☠️ Bayes classification

  • ☠️ Non-Bayesiasn

  • Parameter estimation

  • Parzen window (Kernel Densitiy Estimation) (Non-parametric)

  • K-NN (Densitiy Estimation)

  • K-NN (Classifier)

  • ☠️ Logistic regression (linear classifier)

  • Perceptron (linear classifier)

  • SVM (linear classifier)

  • AdaBoost (classifier)

  • K-Means (clustering, e.g. divide data into K parts)

  • Decision trees

  • Crossvalidation (predict the performance of a model)

  • ToDo
  • Exam Tasks
  • Exam Questions