1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768 |
- \documentclass[hyperref={pdfpagelabels=false},usepdftitle=false]{beamer}
- \usetheme{Frankfurt} % see http://deic.uab.es/~iblanes/beamer_gallery/index_by_theme.html as fallback
- \usecolortheme{beaver}
- \usefonttheme{professionalfonts}
- \usepackage{hyperref}
- \usepackage[utf8]{inputenc} % this is needed for german umlauts
- \usepackage[english]{babel} % this is needed for german umlauts
- \usepackage[T1]{fontenc} % this is needed for correct output of umlauts in pdf
- \usepackage{tikz}
- \usepackage{incgraph}
- \beamertemplatenavigationsymbolsempty
- % Begin:Move navigation from top to bottom
- \setbeamertemplate{navigation symbols}{}
- \makeatletter
- \setbeamertemplate{footline}
- {%
- \pgfuseshading{beamer@barshade}%
- \ifbeamer@sb@subsection%
- \vskip-9.75ex%
- \else%
- \vskip-7ex%
- \fi%
- \begin{beamercolorbox}[ignorebg,ht=2.25ex,dp=3.75ex]{section in head/foot}
- \insertnavigation{\paperwidth}
- \end{beamercolorbox}%
- \ifbeamer@sb@subsection%
- \begin{beamercolorbox}[ignorebg,ht=2.125ex,dp=1.125ex,%
- leftskip=.3cm,rightskip=.3cm plus1fil]{subsection in head/foot}
- \usebeamerfont{subsection in head/foot}\insertsubsectionhead
- \end{beamercolorbox}%
- \fi%
- }%
- \setbeamertemplate{headline}{%
- }
- \makeatother
- % End:Move navigation from top to bottom
- \begin{document}
- \title{Art in Machine Learning}
- \subtitle{\href{https://github.com/MartinThoma/}{github.com/MartinThoma/}}
- \author{Martin Thoma}
- \date{15. Januar 2016}
- \subject{Machine Learning}
- \frame{\titlepage}
- \section{Examples}
- \subsection{Examples}
- \incgraph{0099.jpg}
- \section{ML-Basics}
- \subsection{ML-Basics}
- \begin{frame}{Was ist Machine Learning?}
- \begin{block}{Definition by Tom Mitchell: ML}
- A computer program is said to learn from \textbf{experience} $E$ with
- respect to some class of \textbf{tasks} $T$ and \textbf{performance
- measure} $P$, if its performance at tasks in $T$, as measured by $P$,
- improves with experience $E$.
- \end{block}
- \end{frame}
- \end{document}
|