diff --git a/doc/index.rst b/doc/index.rst
index e670a5f632b85221d0de48e914800ce18ab6ef69..d71e3574345b1365ca818fde5de8944ed4f61ef3 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -13,7 +13,6 @@
        :height: 150
        :target: auto_examples/cluster/plot_affinity_propagation.html
 
-
     .. |banner2| image:: auto_examples/linear_model/images/plot_lasso_lars.png
        :height: 150
        :target: auto_examples/linear_model/plot_lasso_lars.html
diff --git a/doc/whats_new.rst b/doc/whats_new.rst
index 8388b6753304ecc48612b2e709f3de3b3dcf79b1..a761e3bd14c2a9e7fc39ab0813bc53c71e80fbc3 100644
--- a/doc/whats_new.rst
+++ b/doc/whats_new.rst
@@ -1,6 +1,130 @@
 
 .. currentmodule:: scikits.learn
 
+.. _changes_0_6:
+
+0.6
+===
+
+scikits.learn 0.6 was released on december 2010. It is marked by the
+inclusion of several new modules and a general renaming of old
+ones. It is also marked by the inclusion of new example, including
+applications to real-world datasets.
+
+.. |banner1| image:: auto_examples/applications/images/plot_face_recognition.png
+   :height: 150
+   :target: auto_examples/applications/plot_face_recognition.html
+
+.. |banner2| image:: auto_examples/applications/images/plot_species_distribution_modeling.png
+   :height: 150
+   :target: auto_examples/linear_model/plot_species_distribution.html
+
+.. |banner3| image:: auto_examples/gaussian_process/images/plot_gp_regression.png
+   :height: 150
+   :target: auto_examples/gaussian_process/plot_gp_regression.html
+
+.. |banner4| image:: auto_examples/linear_model/images/plot_sgd_iris.png
+   :height: 150
+   :target: auto_examples/linear_model/plot_lasso_lars.html
+
+
+.. |center-div| raw:: html
+
+    <div style="text-align: center; margin: 0px 0 -5px 0;">
+
+.. |end-div| raw:: html
+
+    </div>
+
+
+|center-div| |banner1| |banner2| |banner3| |banner4| |end-div| 
+
+
+Changelog
+---------
+
+  - New `stochastic gradient
+    <http://scikit-learn.sourceforge.net/modules/sgd.html>`_ descent
+    module by Peter Prettenhofer. The module comes with complete
+    documentation and some examples can
+
+  - Improved svm module: memory consumption has been reduced by 50%,
+    heuristic to automatically set class weights, possibility to
+    assign weights to samples (see
+    :ref:`example_svm_plot_weighted_samples.py` for an example).
+
+  - New :ref:`gaussian_process` module by Vincent Dubourg. This module
+    also has great documentation and some very neat examples. See
+    :ref:`example_gaussian_process_plot_gp_regression.py` or
+    :ref:`example_gaussian_process_plot_gp_probabilistic_classification_after_regression.py`
+    for a taste of what can be done.
+
+  - It is now possible to use liblinear’s Multi-class SVC (option
+    multi_class in :class:`linear_model.LinearSVC`)
+
+  - New features and performance improvements of text feature
+    extraction. 
+
+  - Improved sparse matrix support, both in main classes
+    (:class:`grid_search.GridSearch`) as in modules
+    scikits.learn.svm.sparse and scikits.learn.linear_model.sparse.
+
+  - Lots of cool new examples and a new section that uses real-world
+    datasets was created. These include:
+    :ref:`example_applications_plot_face_recognition.py`,
+    :ref:`example_applications_plot_species_distribution_modeling.py`,
+    :ref:`example_applications_svm_gui.py`,
+    :ref:`example_applications_wikipedia_principal_eigenvector.py` and
+    others.
+
+  - Faster LARS algorithm. It is now 2x faster than the R version on
+    worst case and up to 10x times faster on some cases.
+
+  - Faster coordinate descent algorithm. In particular, the full path
+    version of lasso (:func:`linear_model.lasso_path`) is more than
+    200x times faster than before.
+
+  - It is now possible to get probability estimates from a
+    :class:`linear_model.LogisticRegression` model.
+
+  - module renaming: the glm module has been renamed to linear_model,
+    the gmm module has been included into the more general mixture
+    model and the sgd module has been included in linear_model.
+
+  - Lots of bug fixes and documentation improvements.
+
+
+People
+------
+
+People that made this release possible preceeded by number of commits:
+
+   * 207  Olivier Grisel
+
+   * 138 `Fabian Pedregosa <http://fseoane.net/blog/>`_
+
+   * 97 `Peter Prettenhofer <http://sites.google.com/site/peterprettenhofer/>`_
+
+   * 68 `Alexandre Gramfort
+     <http://www-sop.inria.fr/members/Alexandre.Gramfort/index.fr.html>`_
+
+   * 59  `Mathieu Blondel <http://www.mblondel.org/journal/>`_
+
+   * 55  `Gael Varoquaux <http://gael-varoquaux.info/blog/>`_
+
+   * 33  Vincent Dubourg
+
+   * 21  `Ron Weiss <http://www.ee.columbia.edu/~ronw/>`_
+
+   * 9  Bertrand Thirion
+
+   * 3  `Alexandre Passos <http://atpassos.posterous.com>`_
+
+   * 3  Anne-Laure Fouque
+
+   * 2  Ronan Amicel
+
+
 
 .. _changes_0_5: