finalize lecture 11

damian0604 · Apr 20, 2020 · 114cfc4 · 114cfc4
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diff --git a/rm-course-2/week11/lecture11.pdf b/rm-course-2/week11/lecture11.pdf
diff --git a/rm-course-2/week11/lecture11.tex b/rm-course-2/week11/lecture11.tex
@@ -38,7 +38,7 @@
 
 \title[Big Data and Automated Content Analysis]{\textbf{Big Data and Automated Content Analysis\\ Part I+II} \\ Week 11 -- Wednesday \\ »Unsupervised Machine Learning I«}
 \author[Damian Trilling]{Damian Trilling \\ ~ \\ \footnotesize{[email protected] \\@damian0604} \\ \url{www.damiantrilling.net}}
-\date{24 April 2019}
+\date{22 April 2019}
 \institute[UvA]{Afdeling Communicatiewetenschap \\Universiteit van Amsterdam}
 
 
@@ -568,21 +568,10 @@ \section{Important notes}
 \end{frame}
 
 
-\section{Next meetings}
-
-\begin{frame}{Next meetings}
-\begin{block}{Friday}
-Exercising with unsupervised machine learning (SEE NEXT SLIDE)
-\end{block}
-
-\begin{block}{Take home exam}
-Handed out after Friday lecture
-\end{block}
-
-\end{frame}
+\section{Tutorial Exercise}
 
 
-\begin{frame}[fragile,plain]{Exercise for during Friday's lab session}
+\begin{frame}[fragile,plain]{Exercise (as always, Anne and Damian available for questions on Friday)}
 1. Go to \url{https://figshare.com/articles/News-Processed-Dataset/5296357} and download \texttt{WSJ\_20170607\_to\_20170726\_10AmTo4Pm.json} (the small file of 9 MB)