.. image:: pyeco.png :height: 20 :alt: Economie :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-economiste .. 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 .. _l-mlbasic-anomaly: Détection d'anomalies - outliers ++++++++++++++++++++++++++++++++ *Notebooks* * :ref:`td2aenonceclreganomalyrst` (:ref:`correction `) *Lectures* * `A Classification Framework for Anomaly Detection `_ * `Security Analysis of Online Centroid Anomaly Detection `_ * `Robust Random Cut Forest Based Anomaly Detection On Streams `_ * `Network Traffic Decomposition for Anomaly Detection `_ * `Network Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking `_ * `Novelty and Outlier Detection `_ *Vidéos* * `Anomaly Detection vs. Supervised Learning `_ *Modules* * `scikit-learn `_ * `pyculiarity `_ * `lsanomaly `_ * `pyod `_