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ENH: Add know-your-role slides
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presentations/Data-Scientist-Role/Data-Scientist-Role.tex
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presentations/Data-Scientist-Role/Data-Scientist-Role.tex
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\documentclass{beamer}
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\usetheme{metropolis} % https://github.com/matze/mtheme
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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{adjustbox}
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\usepackage{tikz}
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\usetikzlibrary{mindmap,trees}
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\begin{document}
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\title{Data Science}
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\subtitle{Tasks, Tools and Roles}
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\author{Martin Thoma}
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\date{3. September 2019}
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\subject{Computer Science; Business}
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\frame{\titlepage}
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\begin{frame}[plain]{}
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\begin{center}\Huge
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Hi. \uncover<2->{I'm Martin.}
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\end{center}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{center}\huge
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\uncover<1->{I'm a Data Scientist.\\}
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\uncover<2->{Or Machine Learning Engineer?\\}
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\uncover<3->{Or Business Analyst?\\}
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\uncover<4->{Or Data Engineer?}
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\end{center}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{adjustbox}{max totalsize={.99\textwidth}{.99\textheight},center}
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\begin{tikzpicture}
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\path[mindmap,concept color=black,text=white]
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node[concept] {Data Science};
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\end{tikzpicture}
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\end{adjustbox}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{adjustbox}{max totalsize={.99\textwidth}{.99\textheight},center}
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\begin{tikzpicture}
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\path[mindmap,concept color=black,text=white]
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node[concept] {Data Science}
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[clockwise from=0]
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child[concept color=green!50!black] {
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node[concept] {Data}
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}
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child[concept color=blue] {
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node[concept] {Science}
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};
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\end{tikzpicture}
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\end{adjustbox}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{adjustbox}{max totalsize={.99\textwidth}{.99\textheight},center}
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\begin{tikzpicture}
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\path[mindmap,concept color=black,text=white]
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node[concept] {Data Science}
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[clockwise from=0]
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child[concept color=green!50!black] {
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node[concept] {Data}
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[clockwise from=135]
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child { node[concept] {access} }
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child { node[concept] {understand} }
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child { node[concept] {clean} }
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child { node[concept] {transform} }
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}
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child[concept color=blue] {
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node[concept] {Science}
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};
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% child[concept color=red] { node[concept] {technical} }
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% child[concept color=orange] { node[concept] {theoretical} };
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\end{tikzpicture}
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\end{adjustbox}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{adjustbox}{max totalsize={.99\textwidth}{.99\textheight},center}
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\begin{tikzpicture}
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\path[mindmap,concept color=black,text=white]
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node[concept] {Data Science}
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[clockwise from=0]
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child[concept color=green!50!black] {
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node[concept] {Data}
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[clockwise from=135]
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child { node[concept] {access} }
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child { node[concept] {understand} }
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child { node[concept] {clean} }
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child { node[concept] {transform} }
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}
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child[concept color=red] {
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node[concept] {Engineering}
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}
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child[concept color=blue] {
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node[concept] {Science}
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};
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% child[concept color=orange] { node[concept] {theoretical} };
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\end{tikzpicture}
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\end{adjustbox}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{adjustbox}{max totalsize={.99\textwidth}{.99\textheight},center}
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\begin{tikzpicture}
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\path[mindmap,concept color=black,text=white]
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node[concept] {Data Science}
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[clockwise from=0]
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child[concept color=green!50!black] {
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node[concept] {Data}
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[clockwise from=135]
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child { node[concept] {access} }
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child { node[concept] {understand} }
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child { node[concept] {clean} }
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child { node[concept] {transform} }
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}
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child[concept color=red] {
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node[concept] {Engineering}
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[clockwise from=90]
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child { node[concept] {business problem} }
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child { node[concept] {API} }
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}
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child[concept color=blue] {
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node[concept] {Science}
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};
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% child[concept color=orange] { node[concept] {theoretical} };
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\end{tikzpicture}
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\end{adjustbox}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{adjustbox}{max totalsize={.99\textwidth}{.99\textheight},center}
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\begin{tikzpicture}
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\path[mindmap,concept color=black,text=white]
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node[concept] {Data Science}
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[clockwise from=0]
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child[concept color=green!50!black] {
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node[concept] {Data}
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[clockwise from=135]
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child { node[concept] {access} }
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child { node[concept] {understand} }
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child { node[concept] {clean} }
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child { node[concept] {transform} }
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}
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child[concept color=red] {
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node[concept] {Engineering}
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[clockwise from=90]
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child { node[concept] {business problem} }
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child { node[concept] {API} }
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}
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child[concept color=blue] {
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node[concept] {Science}
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[clockwise from=90]
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child { node[concept] {Hypothesis Testing} }
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child { node[concept] {Modeling} }
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child { node[concept] {Optimization} }
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child[concept] {
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node[concept] {Linear Algebra}
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[clockwise from=180]
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child { node[concept] {Matrix Multiplication} }
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}
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};
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% child[concept color=orange] { node[concept] {theoretical} };
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\end{tikzpicture}
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\end{adjustbox}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{tabular}{l|ll}
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& \textbf{Data Engineer} & \textbf{Data Scientist} \\
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Buzz Words & Big Data, Data Lake & AI, DL, Neural Networks \\
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Background & Computer Science & Computer Science \\
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Languages & Java, Python & Python, R \\
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Tools & Spark, Hadoop & Tensorflow, Keras, Sklearn \\
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Solutions & Data Accessible & Predictive Model \\
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\end{tabular}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{tabular}{l|ll}
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& \textbf{Data Analyst} & \textbf{Data Scientist} \\
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& \textbf{Business Analyst} & \\
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Buzz Words & Data Warehouse & AI, Deep Learning, NNs \\
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Background & Mathematics, economics & Computer Science \\
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Languages & Excel, Python, R & Python, R \\
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Tools & Tableau, QlikView & Pandas, Jupyter, Sklearn \\
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Solutions & Business Decision & Predictive Model \\
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\end{tabular}
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\end{frame}
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\begin{frame}[plain]{}
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\begin{center}
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\huge ML Engineer
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\normalsize
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\begin{itemize}
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\item Refactor / Productionalize Data Scientists Code
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\item Glorified Software Engineer who stumbled into Data Science
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\end{itemize}
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\tiny
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Sources:
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\begin{itemize}
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\item /r/MachineLearning: \href{https://www.reddit.com/r/MachineLearning/comments/cxhvbd/}{What is the reality of machine learning engineer?}
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\item Tomasz Dudek: \href{https://medium.com/@tomaszdudek/but-what-is-this-machine-learning-engineer-actually-doing-18464d5c699}{But what is this “machine learning engineer” actually doing?}
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\end{itemize}
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\end{center}
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\end{frame}
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\begin{frame}{Use Cases}
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\begin{itemize}
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\item \textbf{Time Series}: How many calls will our call center get?
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\item \textbf{Categorization}: What topic is an e-mail / tweet / a comment about?
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\item \textbf{Recommendations}: What do I want to buy? What should I watch next?
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\item \textbf{Information Retrival}: (Fuzzy) Search, Lookup, Autocomplete
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\end{itemize}
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\end{frame}
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\begin{frame}{Hard Use Cases}
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\begin{itemize}
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\item \textbf{Automatic Speech Recognition}: Speech to Text
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\item \textbf{Speech Synthesis}: Text to Speech
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\item \textbf{Translation}
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\end{itemize}
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\end{frame}
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\begin{frame}{Typical Problems}
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\begin{itemize}
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\item Data Access / Availability
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\item Data Understanding
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\item Dirty Data
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\item Problem Definition / Optimization Metric
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\item When is it good enough?
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\end{itemize}
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\end{document}
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8
presentations/Data-Scientist-Role/Makefile
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8
presentations/Data-Scientist-Role/Makefile
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SOURCE = Data-Scientist-Role
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make:
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pdflatex $(SOURCE).tex -output-format=pdf
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make clean
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clean:
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rm -rf $(TARGET) *.class *.html *.log *.aux *.out *.glo *.glg *.gls *.ist *.xdy *.1 *.toc *.snm *.nav *.vrb *.fls *.fdb_latexmk *.pyg
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