machine learning book

machine learning book notes #


  • supervised learning (right solutions given)
  • unsupervised learning (no solutions given)
  • reinforcement learning (reinforce beahviour according to feedback)

supervised learning problems:

  • classification (X is a … basend on Y)

  • regression (attribute Z of X is … based on >)

  • nearest neighbour (to which Y is X most similiar)

  • overfitting (model works much better on trainingdata than testdata)

  • underfitting (model is too weak to reproduce even trainingdata results)

  • choice of features is crucial. less might be better bc less dimensions

  • good, clean training data is crucial.