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fix(probas,#17222): PyMC-04 -- nav cellule 46 ajoutee, titre manquant cellule 47 #18287

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myia-ai-01 merged 2 commits into from
Sep 29, 2026
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fix(probas,#17222): PyMC-04 -- nav cellule 46 ajoutee, titre manquant cellule 47 #18287

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fix(probas,#17222): PyMC-04 -- nav cellule 46 ajoutee, titre manquant…
Sep 28, 2026
c020471
fix(probas,#18287): rebaseline twin-pair Probas-4 Bayesian-Networks (…
Sep 28, 2026
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4 changes: 4 additions & 0 deletions MyIA.AI.Notebooks/Probas/PyMC/PyMC-04-Bayesian-Networks.ipynb
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"- Pearl, J. (2000). *Causality: Models, Reasoning, and Inference.* Cambridge University Press. (do-calculus)\n",
"\n",
"***\n",
"**Navigation** : [<< PyMC-3 (Factor Graphs)](PyMC-03-Factor-Graphs.ipynb) | [PyMC-5 (Causal Inference) >>](PyMC-05-Causal-Inference.ipynb)\n",
"\n",
"**Retour au sommaire** : [Index Probas](../README.md)"
]
},
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"id": "fuse-17",
"metadata": {},
"source": [
"## Pour aller plus loin\n",
"\n",
"Les réseaux bayésiens structurent les dependances conditionnelles entre variables via un DAG, et permettent l'inférence MCMC exacte (jusqu'a ~20 variables) ou approchee (au-dela).\n",
"\n",
"Ce notebook a illustre :\n",
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6 changes: 6 additions & 0 deletions ...tools/twin_pairs.d/probas-4-bayesian-networks/0014-2026-09-28-myia-po-2027-CoursIA-2.yaml
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date: '2026-09-28'
by: myia-po-2027:CoursIA-2
python_sha: e6626e8f65894dbf8fde0544e0cf69f5f8b8a960
csharp_sha: 7ef2d50f2dcddfb3024681fbc29090726fc2b820
content_python_sha: 75815668c500ebc2d5a5e48aca688ea3970ef681838adc6e8d629e77a0726f45
content_csharp_sha: ba77fc9181856b651a433cca726ef3c461b2c9369628f3068b7db92bf2a25879
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