{"id":734,"date":"2020-07-28T11:07:38","date_gmt":"2020-07-28T09:07:38","guid":{"rendered":"https:\/\/iaaa.lis-lab.fr\/?page_id=734"},"modified":"2024-09-12T08:17:31","modified_gmt":"2024-09-12T06:17:31","slug":"preparer-la-rentree-en-m2","status":"publish","type":"page","link":"https:\/\/iaaa.lis-lab.fr\/?page_id=734","title":{"rendered":"Pr\u00e9parer la rentr\u00e9e en M2"},"content":{"rendered":"<hr \/>\n<p>Voici quelques liens vers des ressources g\u00e9n\u00e9rales int\u00e9ressantes pour bien vous pr\u00e9parer pour la rentr\u00e9e en M2 IAAA:<\/p>\n<ul class=\"ul1\">\n<li class=\"li1\"><span class=\"s2\">Statistiques : <a href=\"http:\/\/irma.math.unistra.fr\/~geffray\/cours\/cours-nantes\/coursIUT1.pdf\"><span class=\"s3\">http:\/\/irma.math.unistra.fr\/~geffray\/cours\/cours-nantes\/coursIUT1.pdf<\/span><\/a><\/span><\/li>\n<li class=\"li2\">Linguistique :\n<ul class=\"ul1\">\n<li class=\"li2\">Page <a href=\"https:\/\/nlpforhackers.io\/intro-natural-language-processing\/\">Introduction au NLP<\/a> sur le blog <a href=\"https:\/\/nlpforhackers.io\/\">NLP for Hackers <\/a><\/li>\n<li class=\"li2\"><a href=\"https:\/\/www.cl.cam.ac.uk\/teaching\/1314\/L100\/introling.pdf\">Poly de Ted Briscoe<\/a> (Cambridge)<\/li>\n<li>\n<div>Chris Manning &amp; Hinrich Sch\u00fctze <a href=\"https:\/\/mitpress.mit.edu\/books\/foundations-statistical-natural-language-processing\"><em>Foundations of statistical NLP<\/em><\/a> &#8211; Chapitre 3<\/div>\n<\/li>\n<li>Emily Bender <a href=\"https:\/\/www.morganclaypoolpublishers.com\/catalog_Orig\/product_info.php?products_id=442\"><em>Linguistic fundamentals for NLP I &#8211; Morphology &amp; Syntax<\/em><\/a><\/li>\n<li>Emily Bender &amp; Alex Lascarides<em>\u00a0<a href=\"https:\/\/www.morganclaypoolpublishers.com\/catalog_Orig\/product_info.php?products_id=1451\">Linguistic fundamentals for NLP II &#8211; Semantics &amp; Pragmatics<\/a><\/em><\/li>\n<\/ul>\n<\/li>\n<li class=\"li2\"><span class=\"s2\">M\u00e9thode exp\u00e9rimentale : <a href=\"https:\/\/www.cairn.info\/revue-recherche-en-soins-infirmiers-2006-1-page-66.htm#\"><span class=\"s3\">https:\/\/www.cairn.info\/revue-recherche-en-soins-infirmiers-2006-1-page-66.htm#<\/span><\/a><\/span><\/li>\n<li class=\"li2\">Programmation : Vous devez \u00eatre \u00e0 l&rsquo;aise en programmation python. Les ressources sont tr\u00e8s nombreuses<\/li>\n<li>Alg\u00e8bre lin\u00e9aire :\n<ul class=\"ul1\">\n<li><a href=\"https:\/\/www.my-mooc.com\/fr\/mooc\/algebre-lineaire-partie-3-epflx-algebre3x-0\/\">https:\/\/www.my-mooc.com\/fr\/mooc\/algebre-lineaire-partie-3-epflx-algebre3x-0\/<\/a><\/li>\n<li>Un cours du MIT : <a href=\"https:\/\/ocw.mit.edu\/courses\/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018\/video_galleries\/video-lectures\/\">https:\/\/ocw.mit.edu\/courses\/mathematics\/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018\/video-lectures\/index.htm<\/a><\/li>\n<\/ul>\n<\/li>\n<li>Calcul matriciel\n<ul class=\"ul1\">\n<li>Les bases : <a href=\"https:\/\/membres-ljk.imag.fr\/Bernard.Ycart\/mel\/cm\/cm.pdf\">https:\/\/membres-ljk.imag.fr\/Bernard.Ycart\/mel\/cm\/cm.pdf<\/a><\/li>\n<li>Matrice cookbook : <a href=\"https:\/\/www.math.uwaterloo.ca\/~hwolkowi\/matrixcookbook.pdf\">http:\/\/www.cs.toronto.edu\/~bonner\/courses\/2018s\/csc338\/matrix_cookbook.pdf<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<p>Quelques liens vers des cours en ligne (gratuits) de Machine Learning, Deep Learning &#8230;<\/p>\n<ul>\n<li>Le cours Machine Learning d&rsquo;Andrew Ng sur Coursera (assez simple) <a href=\"https:\/\/www.coursera.org\/learn\/machine-learning#syllabus\">https:\/\/www.coursera.org\/learn\/machine-learning#syllabus<\/a><\/li>\n<li>Le cours Learning From Data de Yaser Abu-Mostafa (Caltech) assez complet et proche du programme du module DS du M2 IAAA <a href=\"https:\/\/www.youtube.com\/watch?v=mbyG85GZ0PI&amp;list=PLnIDYuXHkit4LcWjDe0EwlE57WiGlBs08&amp;index=1\">https:\/\/www.youtube.com\/watch?v=mbyG85GZ0PI&amp;list=PLnIDYuXHkit4LcWjDe0EwlE57WiGlBs08&amp;index=1<\/a><\/li>\n<li>La sp\u00e9cialisation (5 cours) en Deep Learning de Andrew Ng sur Coursera <a href=\"https:\/\/www.coursera.org\/learn\/neural-networks-deep-learning?specialization=deep-learning\">https:\/\/www.coursera.org\/learn\/neural-networks-deep-learning?specialization=deep-learning<\/a>\u00a0<\/li>\n<\/ul>\n<hr \/>\n<p>Enfin des liens vers quelques livres de r\u00e9f\u00e9rence gratuits en ligne<\/p>\n<ul>\n<li>Pattern Recognition and Machine Learning de Christopher Bishop (gratuit en ligne): <a href=\"http:\/\/users.isr.ist.utl.pt\/~wurmd\/Livros\/school\/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf\">http:\/\/users.isr.ist.utl.pt\/~wurmd\/Livros\/school\/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf<\/a><\/li>\n<li>Deep Learning Book de Ian Goodfellow, Yoshua Bengio et Aaron Courville (gratuit en line) : <a href=\"https:\/\/www.deeplearningbook.org\/\">https:\/\/www.deeplearningbook.org\/<\/a><\/li>\n<\/ul>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Voici quelques liens vers des ressources g\u00e9n\u00e9rales int\u00e9ressantes pour bien vous pr\u00e9parer pour la rentr\u00e9e en M2 IAAA: Statistiques : http:\/\/irma.math.unistra.fr\/~geffray\/cours\/cours-nantes\/coursIUT1.pdf Linguistique : Page Introduction au NLP sur le blog NLP for Hackers Poly de Ted Briscoe (Cambridge) Chris Manning &amp; Hinrich Sch\u00fctze Foundations of statistical NLP &#8211; Chapitre 3 Emily Bender Linguistic fundamentals for&hellip;<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-734","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/pages\/734","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=734"}],"version-history":[{"count":11,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/pages\/734\/revisions"}],"predecessor-version":[{"id":966,"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=\/wp\/v2\/pages\/734\/revisions\/966"}],"wp:attachment":[{"href":"https:\/\/iaaa.lis-lab.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}