.. blogpost::
    :title: Session 4 - actuariat
    :keywords: session 3
    :date: 2018-06-12
    :categories: session

    Quelques liens :

    * :ref:`textsentimentwordvecrst`
    * `LogisticRegression and Clustering <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/notebooks/logistic_regression_clustering.html#logisticregressionclusteringrst>`_
    * `ClassifierAfterKMeans <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/mlinsights/mlmodel/classification_kmeans.html#mlinsights.mlmodel.classification_kmeans.ClassifierAfterKMeans>`_
    * `Tracer une pyramide bigarrée <http://www.xavierdupre.fr/app/actuariat_python/helpsphinx/notebooks/pyramide_bigarree.html#pyramidebigarreerst>`_
    * `Reconstruction de synonymes - énoncé <http://www.xavierdupre.fr/app/actuariat_python/helpsphinx/notebooks/reconstruction_synonymes_enonce.html#reconstructionsynonymesenoncerst>`_
    * `Reconstruction de synonymes - correction <http://www.xavierdupre.fr/app/actuariat_python/helpsphinx/notebooks/reconstruction_synonymes_correction.html#reconstructionsynonymescorrectionrst>`_
    * `Tests unitaires, setup et ingéniérie logicielle <http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/td1a_unit_test_ci.html>`_
    * `Tests unitaires, setup et ingéniérie logiciel (correction) <http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/td1a_unit_test_ci_correction.html>`_

    Les outils open source évoqués pour la mise en production
    de modèles de machine learning :

    * `onnxmltools <https://github.com/onnx/onnxmltools>`_
    * `ML.net <https://www.microsoft.com/net/learn/apps/machine-learning-and-ai/ml-dotnet>`_,
      `ML.net on github <https://github.com/dotnet/machinelearning>`_,
      `ML.net documentation <https://docs.microsoft.com/fr-fr/dotnet/api/?view=ml-dotnet>`_
    * `tensorflow serving <https://www.tensorflow.org/serving/>`_
    * `tensorflow mobile <https://www.tensorflow.org/mobile/>`_

    La version C# et ML.net de l'analyse de sentiment :

    * `Tutorial: Use ML.NET in a sentiment analysis binary classification scenario <https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/sentiment-analysis>`_