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sdpython · Nov 12, 2014 · e1af8e9 · e1af8e9
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diff --git a/_doc/sphinxdoc/source/td_2a.rst b/_doc/sphinxdoc/source/td_2a.rst
@@ -32,7 +32,7 @@ DataFrame, calcul matriciel, calcul distribué, Python et autres langages sont l
 
 
 - **TD 1 : DataFrame** 
-    - `TD 1 : Données et Graphes <td2acenoncesession1rst>` (:ref:`correction <td2acorrectionsession1rst>`)
+    - :ref:`TD 1 : Données et Graphes <td2acenoncesession1rst>` (:ref:`correction <td2acorrectionsession1rst>`)
         - import/export de données dans un DataFrame
         - manipulation selon une logique SQL
         - utilité des index
@@ -124,6 +124,10 @@ Bibliographie
 * `Don't use Hadoop - your data isn't that big <http://www.chrisstucchio.com/blog/2013/hadoop_hatred.html>`_
 * `A Roundup of Recent Text Analytics and Vis Work <http://blogger.ghostweather.com/2014/10/a-roundup-of-recent-text-analytics-and.html>`_
 * `A Tour of Machine Learning Algorithms <http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/>`_
+* `Efficient Estimation of Word Representations in Vector Space <http://arxiv.org/abs/1301.3781>`_, Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean,
+  ` <http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf>`_, Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, Jeff Dean,
+  `word2vec Parameter Learning Explained <http://arxiv.org/abs/1411.2738>`_, Xin Rong,
+  `Tutorial on Auto-Encoders <http://piotrmirowski.wordpress.com/2014/03/27/tutorial-on-auto-encoders/>`_, Piotr Mirowski
 
 **MOOC**
 

diff --git a/_doc/sphinxdoc/source/td_3a.rst b/_doc/sphinxdoc/source/td_3a.rst
@@ -119,6 +119,10 @@ Bibliographie
 * `Topic Similarity Networks: Visual Analytics for Large Document Sets <http://arxiv.org/pdf/1409.7591v1.pdf>`_, Arun S. Maiya, Robert M. Rolfe
 * `Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference <http://mimno.infosci.cornell.edu/papers/EMNLP2014138.pdf>`_, Moontae Lee, David Mimno
 * `K-means on Azure <http://apiacoa.org/publications/2010/durutrossi2010k-means-on.pdf>`_, Matthieu Durut, Fabrice Rossi
+* `Efficient Estimation of Word Representations in Vector Space <http://arxiv.org/abs/1301.3781>`_, Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean,
+  ` <http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf>`_, Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, Jeff Dean,
+  `word2vec Parameter Learning Explained <http://arxiv.org/abs/1411.2738>`_, Xin Rong,
+  `Tutorial on Auto-Encoders <http://piotrmirowski.wordpress.com/2014/03/27/tutorial-on-auto-encoders/>`_, Piotr Mirowski
 
 **Livres**
 
@@ -170,6 +174,6 @@ Bibliographie
           du `SQL <http://fr.wikipedia.org/wiki/Structured_Query_Language>`_. 
           `PIG <http://en.wikipedia.org/wiki/Pig_Latin>`_ a été choisi
           car `Hive <https://hive.apache.org/>`_ est plus un moyen de lancer rapidement de petites
-          tâches, PIG est prévu pour des tâches plus conséquences pour un coût d'apprentissage
+          tâches, PIG permet des tâches plus conséquentes pour un coût d'apprentissage
           très raisonnable.