\documentclass[ngerman,regno,a4paper,11pt,oneside,hidelinks]{scrbook} %page format \usepackage[ a4paper, top=35mm,right=20mm,bottom=30mm,left=20mm, headheight=25mm ]{geometry} \setcounter{secnumdepth}{3} \input{Packages.tex} \input{Style.tex} \def \AUTHOR{Paul Lödige} \def \AUTHOREMAIL{paul.loedige@student.kit.edu} \def \AUTHORSTUDENTID{2423958} \def \MODULE{Maschinelles Lernen: Grundlagend und Algorithmen} \def \MODULECOMPACT{ML} \def \DATE{\today} \input{Glossary.tex} \begin{document} \input{TitlePage.tex} \clearpage \input{Preface.tex} \clearpage % {{{ Main Content% \pagenumbering{arabic} \part{Einleitung} \input{chapters/Einleitung.tex} \part{Classical Supervised Learning} \label{part:Classical Supervised Learning} \input{chapters/Classical_Supervised_Learning/Linear_Regression.tex} \input{chapters/Classical_Supervised_Learning/Linear_Classification.tex} \input{chapters/Classical_Supervised_Learning/Model_Selection.tex} \input{chapters/Classical_Supervised_Learning/k-Nearest_Neighbors.tex} \input{chapters/Classical_Supervised_Learning/Trees_and_Forests.tex} \clearpage \part{Classical Unsupervised Learning} \label{part:Classical Unsupervised Learning} \input{chapters/Classical_Unsupervised_Learning/Dimensionality_Reduction_and_Clustering.tex} \input{chapters/Classical_Unsupervised_Learning/Density_Estimation_and_Mixture_Models.tex} \clearpage \part{Kernel Methods} \label{part:Kernel Methods} \input{chapters/Kernel_Methods/Kernel-Regression.tex} \input{chapters/Kernel_Methods/Support_Vector_Machines.tex} \clearpage \part{Bayesian Learning} \label{part:Bayesian Learning} \input{chapters/Bayesian_Learning/Bayesian_Linear_Regression_and_Gaussian_Processes.tex} \clearpage \part{Neural Networks} \label{part:Neural Networks} \input{chapters/Neural_Networks/Neural_Networks_and_Backpropagation.tex} \input{chapters/Neural_Networks/CNNs_and_LSTMs.tex} \input{chapters/Neural_Networks/Variational_Auto-Encoders.tex} \clearpage % }}} % \input{Appendix.tex} \end{document}