Vortrag-Martin.tex

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\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}