\beamer@endinputifotherversion {3.36pt}
\beamer@sectionintoc {1}{Prediction problems by the type of output}{3}{0}{1}
\beamer@sectionintoc {2}{The ``learning'' paradigm and vocabulary}{9}{0}{2}
\beamer@sectionintoc {3}{The Nearest-Neigbor and kernel predictors}{16}{0}{3}
\beamer@sectionintoc {4}{Linear predictors}{25}{0}{4}
\beamer@subsectionintoc {4}{1}{Least squares regression}{29}{0}{4}
\beamer@subsectionintoc {4}{2}{Linear Discriminant Analysis (LDA)}{31}{0}{4}
\beamer@subsectionintoc {4}{3}{QDA (Quadratic Discriminant Analysis)}{33}{0}{4}
\beamer@subsectionintoc {4}{4}{Logistic Regression}{34}{0}{4}
\beamer@subsectionintoc {4}{5}{The {\sc Perceptron} algorithm}{39}{0}{4}
\beamer@sectionintoc {5}{Classification and regression tree(s) (CART)}{41}{0}{5}
\beamer@sectionintoc {6}{The Naive Bayes classifier}{46}{0}{6}