\BOOKMARK [2][]{Outline0.1}{Prediction problems by the type of output}{}% 1
\BOOKMARK [2][]{Outline0.2}{The ``learning'' paradigm and vocabulary}{}% 2
\BOOKMARK [2][]{Outline0.3}{The Nearest-Neigbor and kernel predictors}{}% 3
\BOOKMARK [2][]{Outline0.4}{Linear predictors}{}% 4
\BOOKMARK [3][]{Outline0.4.1.29}{Least squares regression}{Outline0.4}% 5
\BOOKMARK [3][]{Outline0.4.2.31}{Linear Discriminant Analysis \(LDA\)}{Outline0.4}% 6
\BOOKMARK [3][]{Outline0.4.3.33}{QDA \(Quadratic Discriminant Analysis\)}{Outline0.4}% 7
\BOOKMARK [3][]{Outline0.4.4.34}{Logistic Regression}{Outline0.4}% 8
\BOOKMARK [3][]{Outline0.4.5.39}{The Perceptron algorithm}{Outline0.4}% 9
\BOOKMARK [2][]{Outline0.5}{Classification and regression tree\(s\) \(CART\)}{}% 10
\BOOKMARK [2][]{Outline0.6}{The Naive Bayes classifier}{}% 11