{"id":13365,"date":"2023-09-19T10:51:12","date_gmt":"2023-09-19T08:51:12","guid":{"rendered":"https:\/\/u-paris.fr\/doctorat\/?p=13365"},"modified":"2026-10-14T14:59:11","modified_gmt":"2026-10-14T12:59:11","slug":"advanced-applied-data-analytics","status":"publish","type":"post","link":"https:\/\/u-paris.fr\/doctorat\/advanced-applied-data-analytics\/","title":{"rendered":"Advanced Applied Data Analytics"},"content":{"rendered":"<p>[et_pb_section fb_built=\u00a0\u00bb1&Prime; _builder_version=\u00a0\u00bb3.22&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][et_pb_row custom_padding=\u00a0\u00bb||0px|||\u00a0\u00bb custom_margin=\u00a0\u00bb-60px||\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; background_size=\u00a0\u00bbinitial\u00a0\u00bb background_position=\u00a0\u00bbtop_left\u00a0\u00bb background_repeat=\u00a0\u00bbrepeat\u00a0\u00bb][et_pb_column type=\u00a0\u00bb3_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_post_title meta=\u00a0\u00bboff\u00a0\u00bb featured_image=\u00a0\u00bboff\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;][\/et_pb_post_title][\/et_pb_column][et_pb_column type=\u00a0\u00bb1_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_divider color=\u00a0\u00bbrgba(0,0,0,0)\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-14px||\u00a0\u00bb][\/et_pb_divider][et_pb_search exclude_pages=\u00a0\u00bboff\u00a0\u00bb exclude_posts=\u00a0\u00bboff\u00a0\u00bb show_button=\u00a0\u00bboff\u00a0\u00bb placeholder=\u00a0\u00bbRechercher une formation\u00a0\u00bb module_id=\u00a0\u00bbsearch_formation\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; border_radii=\u00a0\u00bbon|30px|30px|30px|30px\u00a0\u00bb text_orientation=\u00a0\u00bbcenter\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;][\/et_pb_search][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u00a0\u00bb1&Prime; specialty=\u00a0\u00bbon\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-30px||\u00a0\u00bb][et_pb_column type=\u00a0\u00bb3_4&Prime; specialty_columns=\u00a0\u00bb3&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_row_inner custom_padding=\u00a0\u00bb25px|||||\u00a0\u00bb admin_label=\u00a0\u00bbLigne\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; min_height=\u00a0\u00bb942px\u00a0\u00bb custom_margin=\u00a0\u00bb-47px||\u00a0\u00bb][et_pb_column_inner type=\u00a0\u00bb4_4&Prime; saved_specialty_column_type=\u00a0\u00bb3_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_text admin_label=\u00a0\u00bbTitre %22r\u00e9sum\u00e9%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>R\u00e9sum\u00e9 de la formation<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbR\u00e9sum\u00e9\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<p>This course is the second part of the diiP course \u201cApplied Data Analytics.\u201d The first part covers basic techniques, methodologies, and practical skills for data analysis. The second part delves into more advanced topics in Machine Learning and Deep Learning (see schedule below).<\/p>\n<p>Like the first part, this course is intended for a variety of doctoral students from several faculties at UPCit\u00e9. Key topics include data science, data analysis, machine learning, deep learning, and data mining.<\/p>\n<p>[\/et_pb_text][et_pb_button button_url=\u00a0\u00bbhttps:\/\/amethis.app.u-pariscite.fr\/amethis-client\/formation\/gestion\/formation\/5386&Prime; url_new_window=\u00a0\u00bbon\u00a0\u00bb button_text=\u00a0\u00bbS&rsquo;inscrire\u00a0\u00bb button_alignment=\u00a0\u00bbleft\u00a0\u00bb disabled_on=\u00a0\u00bboff|off|off\u00a0\u00bb admin_label=\u00a0\u00bbBouton inscription\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_button=\u00a0\u00bbon\u00a0\u00bb button_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb button_bg_color=\u00a0\u00bb#8a1538&Prime; button_border_width=\u00a0\u00bb2px\u00a0\u00bb button_border_color=\u00a0\u00bb#8a1538&Prime; button_border_radius=\u00a0\u00bb26&Prime; button_icon=\u00a0\u00bb%%20%%\u00a0\u00bb button_icon_color=\u00a0\u00bb#ffffff\u00a0\u00bb button_on_hover=\u00a0\u00bboff\u00a0\u00bb background_layout=\u00a0\u00bbdark\u00a0\u00bb custom_margin=\u00a0\u00bb0px||50px|||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; custom_css_after=\u00a0\u00bbmargin-left: 0!important;||\u00a0\u00bb saved_tabs=\u00a0\u00bball\u00a0\u00bb background_layout__hover_enabled=\u00a0\u00bbon\u00a0\u00bb background_layout__hover=\u00a0\u00bblight\u00a0\u00bb button_bg_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb button_bg_color__hover=\u00a0\u00bb#ffffff\u00a0\u00bb button_icon_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb button_icon_color__hover=\u00a0\u00bb#8a1538&Prime; button_text_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb button_text_color__hover=\u00a0\u00bb#8a1538&Prime; custom_css_after__hover_enabled=\u00a0\u00bbon\u00a0\u00bb custom_css_after__hover=\u00a0\u00bbmargin-left: 0!important;\u00a0\u00bb button_border_color__hover_enabled=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_button][et_pb_text admin_label=\u00a0\u00bbTitre %22programme%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Programme<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbProgramme\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h3><strong>Program Overview<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>The detailed program &amp; Syllabus are accessible <a href=\"https:\/\/cloud.u-paris.fr\/s\/PGPKnMATp6FkZJd\">HERE<\/a><\/li>\n<\/ul>\n<table width=\"627\">\n<thead>\n<tr>\n<td width=\"129\">\n<p><strong>Monday <\/strong><\/p>\n<p><strong>11\/01\/27<\/strong><\/p>\n<\/td>\n<td width=\"107\">\n<p><strong>Tuesday <\/strong><\/p>\n<p><strong>12\/01\/27<\/strong><\/p>\n<\/td>\n<td width=\"125\"><strong>Wednesday 13\/01\/27<\/strong><\/td>\n<td width=\"119\"><strong>Thursday 14\/01\/27<\/strong><\/td>\n<td width=\"147\">\n<p><strong>Friday <\/strong><\/p>\n<p><strong>15\/01\/27<\/strong><\/p>\n<\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"129\">\n<p>10h00-11h20<\/p>\n<p><strong>Introduction<br \/>Objective of the course (Review of some basic topics)<\/strong><\/p>\n<\/td>\n<td width=\"107\">\n<p>10h00-11h20<\/p>\n<p><strong>Transformers and Pre-Trained Models<\/strong><\/p>\n<\/td>\n<td width=\"125\">\n<p>10h00-11h20<\/p>\n<p><strong>Graph Neural Networks<\/strong><\/p>\n<\/td>\n<td width=\"119\">\n<p>10h00-11h20<\/p>\n<p><strong>Dimensionality Reduction<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td width=\"147\">\n<p>10h00-11h20<\/p>\n<p><strong>Knowledge-Informed Neural Networks<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"129\">\n<p><em>11h20-11h30 <\/em><\/p>\n<p><em>Break and<\/em><\/p>\n<p><em>Poll \u2615<\/em><\/p>\n<\/td>\n<td width=\"107\">\n<p><em>11h20-11h30 <\/em><\/p>\n<p><em>Break and <\/em><\/p>\n<p><em>Poll \u2615<\/em><\/p>\n<\/td>\n<td width=\"125\">\n<p><em>11h20-11h30 <\/em><\/p>\n<p><em>Break and <\/em><\/p>\n<p><em>Poll <\/em>\u2615<\/p>\n<\/td>\n<td width=\"119\">\n<p><em>11h20-11h30 <\/em><\/p>\n<p><em>Break and <\/em><\/p>\n<p><em>Poll <\/em>\u2615<\/p>\n<\/td>\n<td width=\"147\">\n<p><em>11h20-11h30 <\/em><\/p>\n<p><em>Break and <\/em><\/p>\n<p><em>Poll\u00a0 <\/em>\u2615<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"129\">\n<p>11h30-13h00<\/p>\n<p><strong>Generative Adversarial Networks, Autoencoders<\/strong><\/p>\n<\/td>\n<td width=\"107\">\n<p>11h30-13h00<\/p>\n<p><strong>Graph Neural Networks<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td width=\"125\">\n<p>11h30-13h00<\/p>\n<p><strong>Probabilistic Modelling<\/strong><\/p>\n<p>&nbsp;<\/p>\n<\/td>\n<td width=\"119\">\n<p>11h30-13h00<\/p>\n<p><strong>Hyperparameter Tuning<\/strong><\/p>\n<\/td>\n<td width=\"147\">\n<p>11h30-13h00<\/p>\n<p><strong>Knowledge-Informed Neural Networks<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbTitre %22formateurs%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Formateurs et formatrices<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbFormateurs\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<p><strong>Formateur : Yvonne <\/strong><strong>Becherini<\/strong><\/p>\n<p><strong>Email <\/strong>(contact p\u00e9dagogique)<strong>: <\/strong><a href=\"mailto:yvonne.becherini@u-paris.fr\"><strong>becherini@u-paris.fr<\/strong><\/a><\/p>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbTitre %22infos pratiques%22&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Informations pratiques<\/h3>\n<p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#000000&Prime; _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb-20px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb][\/et_pb_divider][et_pb_text admin_label=\u00a0\u00bbInfos pratiques\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h3><strong>Practical Information<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<p><strong>Dates <\/strong>: Starting on the 12th of January 2026 until the 16th of January 2027<br \/>From 10 a.m to 1p.m<\/p>\n<p>-\u2192 This training takes place online via Zoom. The link will be send to you directly by the trainer.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Rules of Attendance<\/strong><\/h3>\n<p>-\u2192 This course takes 15 hours.<\/p>\n<p>-\u2192 Attendance is mandatory for at least 4 days of training.<\/p>\n<p><strong>You will get credited :<\/strong><\/p>\n<ul>\n<li>Attendance for 5 days: 15 hours of training<\/li>\n<li>Attendance for 4 days: 12 hours of training<\/li>\n<li>Attendance under 4 days: no hours of training will be credited<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][et_pb_column type=\u00a0\u00bb1_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_post_title title=\u00a0\u00bboff\u00a0\u00bb author=\u00a0\u00bboff\u00a0\u00bb date=\u00a0\u00bboff\u00a0\u00bb comments=\u00a0\u00bboff\u00a0\u00bb featured_image=\u00a0\u00bboff\u00a0\u00bb text_color=\u00a0\u00bblight\u00a0\u00bb text_background=\u00a0\u00bbon\u00a0\u00bb text_bg_color=\u00a0\u00bb#8a1538&Prime; module_id=\u00a0\u00bbtitre_categorie\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; meta_font=\u00a0\u00bb|600|||||||\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_margin=\u00a0\u00bb-10px||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;][\/et_pb_post_title][et_pb_text admin_label=\u00a0\u00bbPublic\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Public<\/h4>\n<h5>Ph.D students who have completed the \u00ab\u00a0<a href=\"https:\/\/u-paris.fr\/doctorat\/applied-data-analytics\/\">Applied Data Analytics<\/a>\u00a0\u00bb course<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbDur\u00e9e\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Duration<\/h4>\n<h5>5 days \/ 15 hours<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbLangue\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Langue<\/h4>\n<h5>Anglais<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbFormat\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Format<\/h4>\n<h5>Online<\/h5>\n<p>[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbCode\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_4_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb header_5_text_color=\u00a0\u00bb#ffffff\u00a0\u00bb background_color=\u00a0\u00bb#8a1538&Prime; custom_padding=\u00a0\u00bb1px|25px|1px|25px|true|true\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;]<\/p>\n<h4>Code<\/h4>\n<h5>DF26ONAA<\/h5>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=\u00a0\u00bb1&Prime; module_class=\u00a0\u00bbautres_formations\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; custom_margin=\u00a0\u00bb60px|||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;][et_pb_row module_id=\u00a0\u00bbautres_formations\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime;][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb3.0.47&Prime;][et_pb_text admin_label=\u00a0\u00bbAutres formations\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; z_index_tablet=\u00a0\u00bb500&Prime; locked=\u00a0\u00bbon\u00a0\u00bb]<\/p>\n<h3>Formations dans la m\u00eame cat\u00e9gorie<\/h3>\n<p>[\/et_pb_text][et_pb_blog posts_number=\u00a0\u00bb8&Prime; include_categories=\u00a0\u00bb128,130,16&Prime; show_thumbnail=\u00a0\u00bboff\u00a0\u00bb show_author=\u00a0\u00bboff\u00a0\u00bb show_date=\u00a0\u00bboff\u00a0\u00bb show_categories=\u00a0\u00bboff\u00a0\u00bb admin_label=\u00a0\u00bbBlog &#8211; saisir la cat\u00e9gorie\u00a0\u00bb module_id=\u00a0\u00bbpage_type_blog\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1&Prime; header_level=\u00a0\u00bbh4&Prime; pagination_font=\u00a0\u00bb|600|||||||\u00a0\u00bb z_index_tablet=\u00a0\u00bb500&Prime;][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Langue : Anglais<br \/>\nFormat : Distanciel<br \/>\nCode : DF26ONAA <a class=\"continue\" href=\"https:\/\/u-paris.fr\/doctorat\/advanced-applied-data-analytics\/\">Lire la suite<span> Advanced Applied Data Analytics<\/span><\/a><\/p>\n","protected":false},"author":497,"featured_media":21285,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[124,1,16,130,128],"tags":[],"coauthors":[79],"class_list":["post-13365","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-catalogue-de-formation","category-doctorat","category-english-speaking-courses","category-mathematiques-et-statistiques","category-sciences-des-donnees"],"_links":{"self":[{"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/posts\/13365","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/users\/497"}],"replies":[{"embeddable":true,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/comments?post=13365"}],"version-history":[{"count":28,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/posts\/13365\/revisions"}],"predecessor-version":[{"id":22402,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/posts\/13365\/revisions\/22402"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/media\/21285"}],"wp:attachment":[{"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/media?parent=13365"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/categories?post=13365"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/tags?post=13365"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/u-paris.fr\/doctorat\/wp-json\/wp\/v2\/coauthors?post=13365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}