Tutorials on pyAgrum
====================

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    notebooks/*-Tutorial*

Exact and Approximated Inference
=================================

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    notebooks/*-Inference*


Learning Bayesian networks
==========================

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    notebooks/*-Learning*

Different Graphical Models
==========================

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    notebooks/*-Models*

Bayesian networks as scikit-learn compliant classifiers
=======================================================

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    notebooks/*-Classifier*

Causal Bayesian Networks
========================

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    notebooks/*-Causality*

pyAgrum's (experimental) models
===============================

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    notebooks/*-PyModels*

pyAgrum's specific features
===========================

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    notebooks/*-Tools*

Examples
========

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    notebooks/*-Examples*
    notebooks/*-Applications*

Examples from 'The Book of Why' (J. Pearl, 2018)
=================================================

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    notebooks/BoW*
