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ML_Zusammenfassung.tex
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\documentclass[ngerman,regno,a4paper,12pt,oneside]{scrbook}
\documentclass[ngerman,regno,a4paper,12pt,oneside,hidelinks]{scrbook}
%page format
\usepackage[
a4paper,
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% {{{ Main Content%
\pagenumbering{arabic}
\part{Example Part}
\input{chapters/ExamplePart/ExampleChapter.tex}
\part{Classical Supervised Learning}
\input{chapters/Classical_Supervised_Learning/Linear_Regression.tex}
\input{chapters/Classical_Supervised_Learning/Ridge_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}
\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}
\input{chapters/Kernel_Methods/Kernel-Regression.tex}
\input{chapters/Kernel_Methods/Support_Vector_Machines.tex}
\clearpage
\part{Bayesian Learning}
\input{chapters/Bayesian_Learning/Bayesian_Linear_Regression_and_Gaussian_Processes.tex}
\clearpage
\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
% }}} %

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chapters/Bayesian_Learning/Bayesian_Linear_Regression_and_Gaussian_Processes.tex Normal file
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\chapter{Bayesian Linear Regression and Gaussian Processes}%
\label{cha:Bayesian Linear Regression and Gaussian Processes}

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chapters/Classical_Supervised_Learning/Linear_Classification.tex Normal file
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\chapter{Linear Classification}%
\label{cha:Linear Classification}

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chapters/Classical_Supervised_Learning/Linear_Regression.tex Normal file
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\chapter{Linear Regression}%
\label{cha:Linear Regression}

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chapters/Classical_Supervised_Learning/Model_Selection.tex Normal file
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\chapter{Model Selection}%
\label{cha:Model Selection}

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chapters/Classical_Supervised_Learning/Ridge_Regression.tex Normal file
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\chapter{Ridge Regression}%
\label{cha:Ridge Regression}

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chapters/Classical_Supervised_Learning/Trees_and_Forests.tex Normal file
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\chapter{Trees and Forests}%
\label{cha:Trees and Forests}

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chapters/Classical_Supervised_Learning/k-Nearest_Neighbors.tex Normal file
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\chapter{k-Nearest Neighbors}%
\label{cha:k-Nearest Neighbors}

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chapters/Classical_Unsupervised_Learning/Density_Estimation_and_Mixture_Models.tex Normal file
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\chapter{Density Estimation and Mixture Models}%
\label{cha:Density Estimation and Mixture Models}

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chapters/Classical_Unsupervised_Learning/Dimensionality_Reduction_and_Clustering.tex Normal file
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\chapter{Dimensionality Reduction and Clustering}%
\label{cha:Dimensionality Reduction and Clustering}

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chapters/ExamplePart/ExampleChapter.tex
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\chapter{Example Chapter}
Example Text using \gls{example} and the acronym \gls{EXP}
\begin{equation}
\nomeq{exampl}
\end{equation}
\clearpage
\section{Example Section}
Example Page 2

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chapters/Kernel_Methods/Kernel-Regression.tex Normal file
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\chapter{Kernel-Regression}%
\label{cha:Kernel-Regression}

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chapters/Kernel_Methods/Support_Vector_Machines.tex Normal file
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\chapter{Support Vector Machines}%
\label{cha:Support Vector Machines}

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chapters/Neural_Networks/CNNs_and_LSTMs.tex Normal file
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\chapter{CNNs and LSTMs}%
\label{cha:CNNs and LSTMs}

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chapters/Neural_Networks/Neural_Networks_and_Backpropagation.tex Normal file
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\chapter{Neural Networks and Backpropagation}%
\label{cha:Neural Networks and Backpropagation}

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chapters/Neural_Networks/Variational_Auto-Encoders.tex Normal file
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\chapter{Variational Auto-Encoders}%
\label{cha:Variational Auto-Encoders}