{"id":155,"date":"2018-01-18T16:43:10","date_gmt":"2018-01-18T15:43:10","guid":{"rendered":"https:\/\/project.inria.fr\/rescom2018\/?page_id=155"},"modified":"2018-09-06T13:54:38","modified_gmt":"2018-09-06T11:54:38","slug":"introduction-au-data-science","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/rescom2018\/programme\/introduction-au-data-science\/","title":{"rendered":"Introduction au Data Science"},"content":{"rendered":"<p><img decoding=\"async\" class=\"alignright size-full wp-image-384\" src=\"https:\/\/project.inria.fr\/rescom2018\/files\/2018\/01\/michalis.png\" width=\"180\" \/><\/p>\n<h3>Intervenant : <a href=\"http:\/\/www.lix.polytechnique.fr\/Labo\/Michalis.Vazirgiannis\/\">Michalis Vazirgiannis<\/a><\/h3>\n<p>Michalis Vazirgiannis is a Professor in LIX, \u00c9cole Polytechnique. His current research interests are in the area of bigdata mining \u2013 aiming at harnessing t he potential of machine learning algorithms for large scale data sets including text and graphs. More specifically his current work is on graph degeneracy for large scale graph mining, graph based text retrieval, learning models from time series data and text mining for the web (i.e. advertising, news streams).<\/p>\n<h4>D\u00e9tail du cours<\/h4>\n<p>Lecture 1:<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<ul>\n<li>Dimensionality reduction and feature selection\/engineering<\/li>\n<\/ul>\n<p>Lecture 2:<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<ul>\n<li>Introduction to Text Mining (Text Indexing\/Graph of words\/Word embeddings)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Intervenant : Michalis Vazirgiannis Michalis Vazirgiannis is a Professor in LIX, \u00c9cole Polytechnique. His current research interests are in the area of bigdata mining \u2013 aiming at harnessing t he potential of machine learning algorithms for large scale data sets including text and graphs. More specifically his current work is\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/rescom2018\/programme\/introduction-au-data-science\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":659,"featured_media":175,"parent":140,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-155","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/155","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=155"}],"version-history":[{"count":6,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/155\/revisions"}],"predecessor-version":[{"id":351,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/155\/revisions\/351"}],"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\/175"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/media?parent=155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}