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Simon Klüttermann 2022-11-21 13:32:03 +01:00
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data/002Big Picture.txt
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<e>Afterwards</e>
<l2st>
<e>Write down your findings into a simple function (given data, what are my best hyperparameters)</e>
<e>Write down your finding into a report (together, double collumn. 6 Pages per student, plus comparison of algorithms to each other)</e>
<e>Write down your finding into a report (together, double collumn. max 6 Pages per student, plus comparison of algorithms to each other)</e>
<e>One final presentation together in front of my colleagues. About 10min per student.</e>
</l2st>
</list>

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out/main.tex
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\item Write down your findings into a simple function (given data, what are my best hyperparameters)
\item Write down your finding into a report (together, double collumn. 6 Pages per student, plus comparison of algorithms to each other)
\item Write down your finding into a report (together, double collumn. max 6 Pages per student, plus comparison of algorithms to each other)
\item One final presentation together in front of my colleagues. About 10min per student.

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prep/02Big_Picture/q
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@ -11,6 +11,6 @@ Try to be clever (for example: PCA: $n_{components}<n_{features}$. Maybe $\frac{
Afterwards
<l2st>
Write down your findings into a simple function (given data, what are my best hyperparameters)
Write down your finding into a report (together, double collumn. 6 Pages per student, plus comparison of algorithms to each other)
Write down your finding into a report (together, double collumn. max 6 Pages per student, plus comparison of algorithms to each other)
One final presentation together in front of my colleagues. About 10min per student.
</l2st>