.. image:: pystat.png
    :height: 20
    :alt: Statistique
    :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-data-scientist

Très grande dimension
+++++++++++++++++++++

*(à venir)*

*Lectures*

* `Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions <http://jmlr.org/papers/volume18/16-466/16-466.pdf>`_
* `Stabilized Sparse Online Learning for Sparse Data <http://www.jmlr.org/papers/volume18/16-190/16-190.pdf>`_
* `Identifying a Minimal Class of Models for High–dimensional Data <http://www.jmlr.org/papers/volume18/16-172/16-172.pdf>`_
* `Improving Variational Methods via Pairwise Linear Response Identities <http://www.jmlr.org/papers/volume18/16-070/16-070.pdf>`_
* `The xyz algorithm for fast interaction search in high-dimensional data <http://www.jmlr.org/papers/volume19/16-515/16-515.pdf>`_
* `Trust Region Newton Method for Large-Scale Logistic Regression <https://www.csie.ntu.edu.tw/~cjlin/papers/logistic.pdf>`_

*Modules*

* `hypertools <http://hypertools.readthedocs.io/en/latest/>`_
* `datashader <https://github.com/bokeh/datashader>`_