forked from TH_General/Template_Summary
62 lines
1.9 KiB
TeX
62 lines
1.9 KiB
TeX
\documentclass[ngerman,regno,a4paper,12pt,oneside,hidelinks]{scrbook}
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%page format
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\usepackage[
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a4paper,
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top=35mm,right=20mm,bottom=30mm,left=20mm,
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headheight=25mm
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]{geometry}
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\input{Packages.tex}
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\input{Style.tex}
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\def \AUTHOR{Paul Lödige}
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\def \AUTHOREMAIL{paul.loedige@student.kit.edu}
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\def \AUTHORSTUDENTID{2423958}
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\def \MODULE{Maschinelles Lernen: Grundlagend und Algorithmen}
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\def \MODULECOMPACT{ML}
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\def \DATE{\today}
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\input{Glossary.tex}
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\begin{document}
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\input{TitlePage.tex}
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\clearpage
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\input{Preface.tex}
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\clearpage
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% {{{ Main Content%
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\pagenumbering{arabic}
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\part{Classical Supervised Learning}
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\input{chapters/Classical_Supervised_Learning/Linear_Regression.tex}
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\input{chapters/Classical_Supervised_Learning/Ridge_Regression.tex}
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\input{chapters/Classical_Supervised_Learning/Linear_Classification.tex}
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\input{chapters/Classical_Supervised_Learning/Model_Selection.tex}
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\input{chapters/Classical_Supervised_Learning/k-Nearest_Neighbors.tex}
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\input{chapters/Classical_Supervised_Learning/Trees_and_Forests.tex}
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\clearpage
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\part{Classical Unsupervised Learning}
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\input{chapters/Classical_Unsupervised_Learning/Dimensionality_Reduction_and_Clustering.tex}
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\input{chapters/Classical_Unsupervised_Learning/Density_Estimation_and_Mixture_Models.tex}
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\clearpage
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\part{Kernel Methods}
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\input{chapters/Kernel_Methods/Kernel-Regression.tex}
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\input{chapters/Kernel_Methods/Support_Vector_Machines.tex}
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\clearpage
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\part{Bayesian Learning}
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\input{chapters/Bayesian_Learning/Bayesian_Linear_Regression_and_Gaussian_Processes.tex}
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\clearpage
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\part{Neural Networks}
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\input{chapters/Neural_Networks/Neural_Networks_and_Backpropagation.tex}
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\input{chapters/Neural_Networks/CNNs_and_LSTMs.tex}
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\input{chapters/Neural_Networks/Variational_Auto-Encoders.tex}
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\clearpage
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% }}} %
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\input{Appendix.tex}
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\end{document}
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