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Exam (#78)
* First proposal for the exam * update exam * image * ll * fix issue * blog * norm * rename one fileé
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.gitignore

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*.shp
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*.png
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.. _l-feuille-route-2025:
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==================================
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2025-03-01 : feuille de route 2025
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==================================
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Séance 1 (31/1)
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===============
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* site web : `sdpython.github.io <https://sdpython.github.io/>`_
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* :ref:`l-ml-rappel`
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* programmation (python :epkg:`numpy`, :epkg:`pandas`, :epkg:`matplotlib`, :epkg:`jupyter`)
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* :ref:`Tests unitaires <nbl-practice-py-base-tests_unitaires>`, package python
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* `SQL <https://en.wikipedia.org/wiki/SQL>`_
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* `CPU <https://en.wikipedia.org/wiki/Central_processing_unit>`_,
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`CUDA <https://en.wikipedia.org/wiki/CUDA>`_
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* machine learning, :epkg:`scikit-learn`, :epkg:`pytorch`
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* `comparaison torch/scikit-learn <https://sdpython.github.io/doc/experimental-experiment/dev/auto_examples/plot_torch_linreg.html>`_
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* :ref:`l-regclass`
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* évaluation, :ref:`ROC <l-ml-plot-roc>`, :math:`R^2`
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* ranking, clustering
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* `ChatGPT <https://chat.openai.com/>`_,
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`LLM <https://en.wikipedia.org/wiki/Large_language_model>`_,
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(Large Language Model), SLLM (Small LLM)
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* Coder avec un LLM en local.

_doc/articles/index.rst

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Ou *blog*.
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.. toctree::
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:caption: 2025
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:maxdepth: 1
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2025/2025-03-01-route2025
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.. toctree::
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:caption: 2024
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:maxdepth: 1

_doc/practice/exams.rst

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=================
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Ces exercices ont été proposés pour examens d'évaluation.
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Il est recommandé de savoir les faire en moins de deux heures.
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Il est recommandé de savoir les faire en moins de deux heures pour les premiers
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et une heure et demie pour les derniers.
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.. _l-examens-notes:
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* :download:`td_note_2023 <exams/td_note_2023.pdf>`
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* :download:`td_note_2023-2024 <exams/td_note_2023-2024.pdf>`
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* :download:`td_note_2023-2024_rattrapage <exams/td_note_2023-2024_rattrapage_sans_correction.pdf>`
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* :download:`td_note_2024 <exams/td_note_2024.pdf>`
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Corrections
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exams/td_note_2023
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exams/td_note_2023-2024
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exams/td_note_2023-2024_rattrapage
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exams/td_note_2024
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Exercices courts
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================

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