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+\documentclass[hyperref={pdfpagelabels=false},usepdftitle=false]{beamer}
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+\usetheme{Frankfurt} % see http://deic.uab.es/~iblanes/beamer_gallery/index_by_theme.html as fallback
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+\usecolortheme{beaver}
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+\usefonttheme{professionalfonts}
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+\usepackage{hyperref}
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+\usepackage[utf8]{inputenc} % this is needed for german umlauts
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+\usepackage[english]{babel} % this is needed for german umlauts
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+\usepackage[T1]{fontenc} % this is needed for correct output of umlauts in pdf
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+\usepackage{tikz}
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+
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+\newcommand {\framedgraphic}[2] {
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+ \begin{frame}{#1}
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+ \begin{center}
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+ \includegraphics[width=\textwidth,height=0.8\textheight,keepaspectratio]{#2}
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+ \end{center}
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+ \end{frame}
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+}
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+
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+\newcommand {\framedgraphiconly}[1] {
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+ \setbeamertemplate{navigation symbols}{}
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+ \begin{frame}[plain]
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+ \begin{center}
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+ \includegraphics[width=\paperwidth,height=\paperheight,keepaspectratio]{#1}
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+ \end{center}
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+ %\begin{tikzpicture}[remember picture,overlay]
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+ %\node[at=(current page.center)] {
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+ %\includegraphics[width=\paperwidth,height=\paperheight,keepaspectratio]{#1}
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+ %};
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+ %\end{tikzpicture}
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+ \end{frame}
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+}
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+
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+\beamertemplatenavigationsymbolsempty
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+
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+% Begin:Move navigation from top to bottom
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+\setbeamertemplate{navigation symbols}{}
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+\makeatletter
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+\setbeamertemplate{footline}
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+{%
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+ \pgfuseshading{beamer@barshade}%
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+ \ifbeamer@sb@subsection%
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+ \vskip-9.75ex%
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+ \else%
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+ \vskip-7ex%
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+ \fi%
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+ \begin{beamercolorbox}[ignorebg,ht=2.25ex,dp=3.75ex]{section in head/foot}
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+ \insertnavigation{\paperwidth}
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+ \end{beamercolorbox}%
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+ \ifbeamer@sb@subsection%
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+ \begin{beamercolorbox}[ignorebg,ht=2.125ex,dp=1.125ex,%
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+ leftskip=.3cm,rightskip=.3cm plus1fil]{subsection in head/foot}
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+ \usebeamerfont{subsection in head/foot}\insertsubsectionhead
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+ \end{beamercolorbox}%
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+ \fi%
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+}%
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+\setbeamertemplate{headline}{%
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+}
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+\makeatother
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+% End:Move navigation from top to bottom
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+
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+
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+\begin{document}
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+
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+\title{Art in Machine Learning}
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+\subtitle{\href{https://github.com/MartinThoma/}{github.com/MartinThoma/}}
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+\author{Martin Thoma}
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+\date{15. Januar 2016}
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+\subject{Machine Learning}
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+
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+\frame{\titlepage}
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+
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+\section{Examples}
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+\subsection{Examples}
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+\framedgraphiconly{0099.jpg}
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+
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+\section{ML-Basics}
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+\subsection{ML-Basics}
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+
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+\begin{frame}{Was ist Machine Learning?}
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+ \begin{block}{Definition by Tom Mitchell: ML}
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+ A computer program is said to learn from \textbf{experience} $E$ with
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+ respect to some class of \textbf{tasks} $T$ and \textbf{performance
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+ measure} $P$, if its performance at tasks in $T$, as measured by $P$,
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+ improves with experience $E$.
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+ \end{block}
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+\end{frame}
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+
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+\end{document}
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