{"id":153,"date":"2018-01-18T16:42:05","date_gmt":"2018-01-18T15:42:05","guid":{"rendered":"https:\/\/project.inria.fr\/rescom2018\/?page_id=153"},"modified":"2018-09-06T13:54:07","modified_gmt":"2018-09-06T11:54:07","slug":"introduction-au-machine-learning","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/rescom2018\/programme\/introduction-au-machine-learning\/","title":{"rendered":"Introduction au Machine Learning"},"content":{"rendered":"<p><img decoding=\"async\" class=\"alignright size-full wp-image-384\" src=\"https:\/\/project.inria.fr\/rescom2018\/files\/2018\/01\/guillaume.png\" width=\"180\" \/><\/p>\n<h3>Intervenant : <a href=\"http:\/\/imagine.enpc.fr\/~obozinsg\/\">Guillaume Obozinski<\/a><\/h3>\n<p>Guillaume Obozinski is a research faculty at Ecole des Ponts &#8211; ParisTech, in the Imagine team of the Laboratoire d&rsquo;Informatique Gaspard Monge. He is also associate member of the Sierra Inria team, in the Laboratoire d&rsquo;Informatique de l&rsquo;Ecole Normale Sup\u00e9rieure. His primary line of research examines Machine Learning and its applications.<\/p>\n<h4>D\u00e9tail du cours<\/h4>\n<p><b>Lecture 1:<\/b><\/p>\n<ul>\n<li>Decision theory and supervised learning:<\/li>\n<li>Loss function, risk, target function, regression and multiclass classification settings<\/li>\n<li>as example, empirical risk minimization, hypothesis space,<span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li>overfitting, regularization, ridge regression, risk decomposition, cross-validation<\/li>\n<\/ul>\n<p><b>Lecture 2:<\/b><\/p>\n<ul>\n<li>Binary classification, evaluation of classifiers (ROC,precision recall, confusion matrix),<\/li>\n<li>plug-in classification, local averaging methods, perceptron, logistic regression, <span class=\"Apple-converted-space\">\u00a0<\/span><\/li>\n<li>Lecture 3:<\/li>\n<li>Support vector machines:<\/li>\n<li>(geometry and optimization, hinge loss, kernel trick, RKHS, kernel regression.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Intervenant : Guillaume Obozinski Guillaume Obozinski is a research faculty at Ecole des Ponts &#8211; ParisTech, in the Imagine team of the Laboratoire d&rsquo;Informatique Gaspard Monge. He is also associate member of the Sierra Inria team, in the Laboratoire d&rsquo;Informatique de l&rsquo;Ecole Normale Sup\u00e9rieure. His primary line of research examines\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/rescom2018\/programme\/introduction-au-machine-learning\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":659,"featured_media":176,"parent":140,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-153","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/153","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/users\/659"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/comments?post=153"}],"version-history":[{"count":5,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/153\/revisions"}],"predecessor-version":[{"id":350,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/153\/revisions\/350"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/140"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/media\/176"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/media?parent=153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}