Teaching/ML-Kurs-SS2023
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.gitignore initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
01_intro_python.md updates 2023-04-05 17:26:47 +02:00
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03_ml_intro_mva.md update 03_ml_intro_mva.md 2023-04-03 11:49:25 +02:00
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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
introduction.md update 2023-04-07 08:14:19 +02:00
Makefile update 2023-04-03 13:43:34 +02:00
ml_basics.md update 2023-04-03 13:43:34 +02:00
neural_networks.md initial set of slides corresponding to 2022 version 2023-03-10 14:19:06 +01:00
README.md update 2023-04-03 13:54:55 +02:00
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)

Outline

  1. introduction (introduction.md)
  2. intro_python (01_intro_python.md)
  3. fit_intro (02_fit_intro.md)
  4. 03_ml_intro (03_ml_intro.odp) / 03_ml_intro_mva (03_ml_intro_mva.md)
  5. decision_trees (md)
  6. CNN's / GNN's (md)

Weitere Dateien:

  • CIPpoolAccess.PDF (openoffice)