Teaching/ML-Kurs-SS2023
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ML-Kurs-SS2023/slides
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Klaus Reygers 46fae93569 initial set of slides corresponding to 2022 version
2023-03-10 14:19:06 +01:00
..
figures initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
.gitignore initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
copy_slides.sh initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
decision_trees.md initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
fit_intro.md initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
intro_python.md initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
Makefile initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
ml_basics.md initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
neural_networks.md initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
README.md initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
run_pandoc.sh initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
template.beamer initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00

README.md

Pandoc slides example following style of Stefan Wunsch's CERN IML workhsop presenation on keras (see slides folder)