{"id":16839,"date":"2022-01-10T13:54:09","date_gmt":"2022-01-10T13:54:09","guid":{"rendered":"https:\/\/timi.eu\/?page_id=16839"},"modified":"2022-08-02T18:07:16","modified_gmt":"2022-08-02T18:07:16","slug":"academie","status":"publish","type":"page","link":"https:\/\/timi.eu\/fr\/academie\/","title":{"rendered":"Acad\u00e9mie"},"content":{"rendered":"<div class=\"row  \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-12 col-md-12 col-lg-12 pageswitcher\">\n\n<div\n\t class=\"wpml-ls-statics-shortcode_actions wpml-ls wpml-ls-legacy-dropdown js-wpml-ls-legacy-dropdown\">\n\t<ul>\n\n\t\t<li tabindex=\"0\" class=\"wpml-ls-slot-shortcode_actions wpml-ls-item wpml-ls-item-fr wpml-ls-current-language wpml-ls-item-legacy-dropdown\">\n\t\t\t<a href=\"#\" class=\"js-wpml-ls-item-toggle wpml-ls-item-toggle\">\n                                                    <img\n            class=\"wpml-ls-flag\"\n            src=\"https:\/\/timi.eu\/wp-content\/plugins\/sitepress-multilingual-cms\/res\/flags\/fr.png\"\n            alt=\"\"\n            width=18\n            height=12\n    \/><span class=\"wpml-ls-native\">Fran\u00e7ais<\/span><\/a>\n\n\t\t\t<ul class=\"wpml-ls-sub-menu\">\n\t\t\t\t\n\t\t\t\t\t<li class=\"wpml-ls-slot-shortcode_actions wpml-ls-item wpml-ls-item-en wpml-ls-first-item\">\n\t\t\t\t\t\t<a href=\"https:\/\/timi.eu\" class=\"wpml-ls-link\">\n                                                                <img\n            class=\"wpml-ls-flag\"\n            src=\"https:\/\/timi.eu\/wp-content\/plugins\/sitepress-multilingual-cms\/res\/flags\/en.png\"\n            alt=\"\"\n            width=18\n            height=12\n    \/><span class=\"wpml-ls-display\">Anglais<\/span><\/a>\n\t\t\t\t\t<\/li>\n\n\t\t\t\t\n\t\t\t\t\t<li class=\"wpml-ls-slot-shortcode_actions wpml-ls-item wpml-ls-item-es\">\n\t\t\t\t\t\t<a href=\"https:\/\/timi.eu\/es\/\" class=\"wpml-ls-link\">\n                                                                <img\n            class=\"wpml-ls-flag\"\n            src=\"https:\/\/timi.eu\/wp-content\/plugins\/sitepress-multilingual-cms\/res\/flags\/es.png\"\n            alt=\"\"\n            width=18\n            height=12\n    \/><span class=\"wpml-ls-display\">Espagnol<\/span><\/a>\n\t\t\t\t\t<\/li>\n\n\t\t\t\t\n\t\t\t\t\t<li class=\"wpml-ls-slot-shortcode_actions wpml-ls-item wpml-ls-item-nl\">\n\t\t\t\t\t\t<a href=\"https:\/\/timi.eu\/nl\/\" class=\"wpml-ls-link\">\n                                                                <img\n            class=\"wpml-ls-flag\"\n            src=\"https:\/\/timi.eu\/wp-content\/plugins\/sitepress-multilingual-cms\/res\/flags\/nl.png\"\n            alt=\"\"\n            width=18\n            height=12\n    \/><span class=\"wpml-ls-display\">N\u00e9erlandais<\/span><\/a>\n\t\t\t\t\t<\/li>\n\n\t\t\t\t\n\t\t\t\t\t<li class=\"wpml-ls-slot-shortcode_actions wpml-ls-item wpml-ls-item-ru wpml-ls-last-item\">\n\t\t\t\t\t\t<a href=\"https:\/\/timi.eu\/ru\/\" class=\"wpml-ls-link\">\n                                                                <img\n            class=\"wpml-ls-flag\"\n            src=\"https:\/\/timi.eu\/wp-content\/plugins\/sitepress-multilingual-cms\/res\/flags\/ru.png\"\n            alt=\"\"\n            width=18\n            height=12\n    \/><span class=\"wpml-ls-display\">Russe<\/span><\/a>\n\t\t\t\t\t<\/li>\n\n\t\t\t\t\t\t\t<\/ul>\n\n\t\t<\/li>\n\n\t<\/ul>\n<\/div>\n\n<\/div>\n<\/div><\/div><\/div>\n<div class=\"row  \" ><div class=\"cherry-box   box-291\"><div class=\"inner\"><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-sm-12 col-lg-12 custom-home-text\">\n<div class=\"aligncenter\"><span class=\"fa fa-graduation-cap cherry-icon   icon-113\"><\/span><\/div>\n<h2 style=\"text-align: center; margin-top: 10px;\"><span style=\"color: #000;\"><strong>Une br\u00e8ve introduction \u00e0<\/strong><\/span> <span style=\"color: #11afbe; font-weight: 500;\">la Suite TIMi<\/span><\/h2>\n<\/div><\/div><\/div><\/div><\/div><\/div>\n<div class=\"row custom-info-services \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-12 col-md-12 col-lg-12\">\nLa meilleure fa\u00e7on de commencer \u00e0 apprendre TIMi est de suivre <a target=\"_blank\" href=\"https:\/\/www.youtube.com\/playlist?list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp\" rel=\"noopener\">ces 8 vid\u00e9os Youtube de formation sur Anatella<\/a> :<\/p>\n<ol>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=uAw7xdovp5A&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=1\" rel=\"noopener\">Comment installer TIMi\/Anatella sur un ordinateur ?<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=tc-Jz5PmHcY&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=2\" rel=\"noopener\">Votre premi\u00e8re transformation de donn\u00e9es avec Anatella<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=nRRagKq62Ns&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=3\" rel=\"noopener\">Utilisons les bo\u00eetes filtre et calculette !<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=gmVFOxKBmnY&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=4\" rel=\"noopener\">Regrouper, trier et tracer les donn\u00e9es<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=fF8gw3gjyt0&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=5\" rel=\"noopener\">Le syst\u00e8me de cache d&rsquo;Anatella<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=IkNjc7_aG2c&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=6\" rel=\"noopener\">Comment mettre vos graphiques Anatella en production<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=MP-ZckztvLo&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=7\" rel=\"noopener\">Les meilleures pratiques pour Anatella<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=_owdMY4Er_E&amp;list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp&amp;index=8\" rel=\"noopener\">Les bo\u00eetes d&rsquo;Anatella les plus courantes<\/a><\/li>\n<\/ol>\n<\/div><\/div><\/div><\/div>\n<div class=\"row custom-info-services \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-12 col-md-12 col-lg-12\">\nUne fois que vous aurez suivi <a target=\"_blank\" href=\"https:\/\/www.youtube.com\/playlist?list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp\" rel=\"noopener\"> les 8 vid\u00e9os ci-dessus sur Anatella<\/a>, vous serez en mesure d&rsquo;effectuer presque toutes les activit\u00e9s li\u00e9es aux donn\u00e9es telles que : la collecte de donn\u00e9es, l&rsquo;importation de donn\u00e9es, la transformation de donn\u00e9es, le traitement de donn\u00e9es, le nettoyage de donn\u00e9es, le tra\u00e7age de donn\u00e9es, l&rsquo;exportation de donn\u00e9es vers d&rsquo;autres outils de BI ou vers des services cloud, l&rsquo;ing\u00e9nierie des fonctionnalit\u00e9s, etc.<br \/>\n<\/div><\/div><\/div><\/div>\n<div class=\"row custom-info-services \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-12 col-md-12 col-lg-12\">\n&nbsp;<br \/>\nNous vous encourageons vivement \u00e0 suivre <a target=\"_blank\" href=\"https:\/\/www.youtube.com\/playlist?list=PL4qkG0nrZkJ3RH3oVqO0gaovx7JPdRkgp\" rel=\"noopener\">les 8 vid\u00e9os ci-dessus sur Anatella<\/a> car elles vous aideront grandement \u00e0 apprendre la \u00ab\u00a0Suite TIMi\u00a0\u00bb. Les autres vid\u00e9os ci-dessous ne sont utiles que si vous avez des besoins tr\u00e8s sp\u00e9cifiques : par exemple, si vous avez un exercice d&rsquo;apprentissage automatique ou de clustering \u00e0 r\u00e9aliser.<br \/>\n&nbsp;<br \/>\n<\/div><\/div><\/div><\/div>\n<div class=\"row custom-info-services \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-12 col-md-12 col-lg-12\">\nDans Anatella, toutes les biblioth\u00e8ques open source permettant de cr\u00e9er des mod\u00e8les pr\u00e9dictifs et d&rsquo;effectuer des activit\u00e9s d&rsquo;apprentissage automatique sont directement disponibles, en quelques clics de souris. Mais, si vous voulez vous lancer dans les exercices d&rsquo;apprentissage automatique les plus avanc\u00e9s, vous aurez besoin d&rsquo;un outil d&rsquo;apprentissage automatique tel que \u00ab\u00a0Modeler\u00a0\u00bb. Voici quelques tutoriels vid\u00e9o Youtube sur Modeler :<\/p>\n<ol>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=HtEkA0ygkjc\" rel=\"noopener\">Une courte introduction \u00e0 la mod\u00e9lisation pr\u00e9dictive et comment cr\u00e9er votre premier mod\u00e8le pr\u00e9dictif avec Modeler (anglais)<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=Qs6J3G-G_gc\" rel=\"noopener\">Comment utiliser Modeler directement depuis Anatella pour recr\u00e9er automatiquement un nouveau mod\u00e8le \u00e0 la vol\u00e9e chaque semaine ? (anglais)<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=XaipQ54fBBU\" rel=\"noopener\">R\u00e9soudre un probl\u00e8me de Text Mining tr\u00e8s avanc\u00e9 avec TIMi Modeler (anglais)<\/a><\/li>\n<\/ol>\n<\/div><\/div><\/div><\/div>\n<div class=\"row custom-info-services \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-12 col-md-12 col-lg-12\">\nToujours dans Anatella, toutes les biblioth\u00e8ques open source pour segmenter\/classer vos ensembles de donn\u00e9es sont directement disponibles en quelques clics de souris. Mais si vous voulez vous engager dans les exercices de clustering les plus avanc\u00e9s, vous aurez besoin d&rsquo;un outil de segmentation 3D tel que \u00ab\u00a0Stardust\u00a0\u00bb. Voici quelques tutoriels vid\u00e9o Youtube sur Stardust :<\/p>\n<ol>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=6mpJ_AtaGqQ\" rel=\"noopener\">Principes de segmentation : Introduction th\u00e9orique \u00e0 la technique PCA &#8211; partie 1 (anglais).<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=ZEeTCGH9qOU\" rel=\"noopener\">Principes de segmentation : Introduction th\u00e9orique \u00e0 la technique PCA &#8211; partie 2 (anglais).<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=-vvjaMpZN-8\" rel=\"noopener\">Une d\u00e9monstration du moteur de segmentation multivari\u00e9e de Stardust &#8211; partie 1 (anglais).<\/a><\/li>\n<li><a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=LRJ4Rfj_ZcA\" rel=\"noopener\">Une d\u00e9monstration du moteur de segmentation multivari\u00e9e de Stardust &#8211; partie 2 (anglais).<\/a><\/li>\n<\/ol>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:25px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:25px;\"><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<div class=\"row  \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-12 col-md-12 col-lg-12 custom-home-text\">\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:25px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:10px;\"><\/div>\n<h2 style=\"text-align: center;\"><span style=\"color: #000; font-weight: bold;\">LES BASES<\/span> <span style=\"color: #11afbe; font-weight: 500;\">DE LA BUSINESS INTELLIGENCE<\/span><\/h2>\n<p style=\"text-align: center;\">Dans ce guide, nous allons voir quelles fonctionnalit\u00e9s chaque type de solution analytique a \u00e0 offrir,<br \/>\ncomment elles se comparent les unes aux autres et comment faire le bon choix pour vos besoins.<br \/>\nLes solutions classiques de Business-Intelligence peuvent \u00eatre class\u00e9es grossi\u00e8rement comme suit :<\/p>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:25px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:25px;\"><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<div class=\"row custom-info-services \" ><div class=\"container\"><div class=\"row row-edge\">\n<div class=\"col-xs-12 col-sm-6 col-md-3 col-lg-3\">\n<h3>Int\u00e9gration de donn\u00e9es : ETL<\/h3>\n<p>L&rsquo;objectif principal des outils ETL (Extract, Transform, Load) est de rassembler le contenu de diverses bases de donn\u00e9es ou syst\u00e8mes op\u00e9rationnels d&rsquo;une organisation et de centraliser toutes les donn\u00e9es en un seul endroit, appel\u00e9 \u00ab\u00a0entrep\u00f4t de donn\u00e9es\u00a0\u00bb.<\/p>\n<a class=\"cherry-btn cherry-btn-primary cherry-btn-small cherry-btn-inline cherry-btn-fade custom-button-1  button-390\" target=\"_self\" href=\"\/academy\/data-integration-etl\/\">Lire la suite (anglais)<\/a>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:20px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n<\/div>\n<div class=\"col-xs-12 col-sm-6 col-md-3 col-lg-3\">\n<h3>Data warehousing<\/h3>\n<p>Un data warehouse est un lieu centralis\u00e9 o\u00f9 vous pouvez trouver toutes les donn\u00e9es de votre entreprise. Les logiciels de Data Warehouse sont tr\u00e8s souvent de simples bases de donn\u00e9es : Oracle, Teradata, SQL Server, MySQL,&#8230;<\/p>\n<a class=\"cherry-btn cherry-btn-primary cherry-btn-small cherry-btn-inline cherry-btn-fade custom-button-1  button-169\" target=\"_self\" href=\"\/academy\/data-warehousing\/\">Lire la suite (anglais)<\/a>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:20px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n<\/div>\n<div class=\"col-xs-12 col-sm-6 col-md-3 col-lg-3\">\n<h3>Rapports et BI<\/h3>\n<p>Les logiciels de reporting (c&rsquo;est-\u00e0-dire les outils BI &#8211; Business Intelligence tools) vous permettent de cr\u00e9er des tableaux et des graphiques sur l&rsquo;\u00e9volution des diff\u00e9rents KPI (Key Performance Indexes) qui caract\u00e9risent votre entreprise.<\/p>\n<a class=\"cherry-btn cherry-btn-primary cherry-btn-small cherry-btn-inline cherry-btn-fade custom-button-1  button-485\" target=\"_self\" href=\"\/academy\/reporting-BI\/\">Lire la suite (anglais)<\/a>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:20px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n<\/div>\n<div class=\"col-xs-12 col-sm-6 col-md-3 col-lg-3\">\n<h3>Logiciels de CRM<\/h3>\n<p>L&rsquo;acronyme CRM signifie \u00ab\u00a0Customer Relationship Management\u00a0\u00bb (gestion de la relation client). Cette cat\u00e9gorie couvre les logiciels de CRM op\u00e9rationnel et de CRM analytique.<\/p>\n<a class=\"cherry-btn cherry-btn-primary cherry-btn-small cherry-btn-inline cherry-btn-fade custom-button-1  button-767\" target=\"_self\" href=\"\/academy\/analytical-and-operational-crm-software-solutions\/\">Lire la suite (anglais)<\/a>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:20px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:100px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n<div class=\"row row-edge  \" >\n<div class=\"col-xs-12 col-sm-6 col-md-6 col-lg-6\">\n<h2>Analytique avanc\u00e9e : 2 approches diff\u00e9rentes<\/h2>\n<p>Les outils CRM analytiques peuvent \u00eatre class\u00e9 en 2 cat\u00e9gories : Les outils de CRM analytique bas\u00e9s sur des techniques de segmentation et les outils de CRM analytique bas\u00e9s sur des techniques pr\u00e9dictives. Par sa nature m\u00eame, la segmentation est une technique bien adapt\u00e9e au travail exploratoire. Par opposition, l&rsquo;analyse pr\u00e9dictive est de nature discriminatoire. Les outils de CRM analytique bas\u00e9s sur des techniques pr\u00e9dictives g\u00e9n\u00e8rent g\u00e9n\u00e9ralement un meilleur retour sur investissement pour les campagnes de marketing.<\/p>\n<a class=\"cherry-btn cherry-btn-primary cherry-btn-small cherry-btn-inline cherry-btn-fade custom-button-1  button-116\" target=\"_self\" href=\"\/academy\/bi-analytics\/\">Lire la suite (anglais)<\/a>\n<\/div>\n<div class=\"col-xs-12 col-sm-6 col-md-6 col-lg-6\">\n<a class=\"single-popup-image\" href=\"\/academy\/bi-analytics\/\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-2968\" src=\"\/wp-content\/uploads\/2016\/08\/segPredLifts.png\" alt=\"segPredLifts\" width=\"499\" height=\"334\" srcset=\"https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/segPredLifts.png 499w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/segPredLifts-300x201.png 300w\" sizes=\"(max-width: 499px) 100vw, 499px\" \/><\/a><br \/>\n<\/div>\n<\/div>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:100px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n<div class=\"row row-edge  \" >\n<div class=\"col-xs-12 col-sm-6 col-md-6 col-lg-6\">\n<a class=\"single-popup-image\" href=\"\/academy\/of-the-utility-of-the-test-dataset\/\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-2909\" src=\"\/wp-content\/uploads\/2016\/08\/datasetForScoring.png\" alt=\"datasetForScoring\" width=\"1058\" height=\"264\" srcset=\"https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/datasetForScoring.png 1058w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/datasetForScoring-600x150.png 600w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/datasetForScoring-300x75.png 300w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/datasetForScoring-768x192.png 768w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/datasetForScoring-1024x256.png 1024w\" sizes=\"(max-width: 1058px) 100vw, 1058px\" \/><\/a><br \/>\n<\/div>\n<div class=\"col-xs-12 col-sm-6 col-md-6 col-lg-6\">\n<h2>De l&rsquo;utilit\u00e9 de l&rsquo;ensemble de donn\u00e9es de test<\/h2>\n<p>Lorsque vous comparez la pr\u00e9cision de 2 mod\u00e8les pr\u00e9dictifs diff\u00e9rents pour savoir quel mod\u00e8le pr\u00e9dictif est le meilleur (celui qui a la meilleure pr\u00e9cision et le meilleur ROI), vous devez comparer UNIQUEMENT les \u00ab\u00a0courbes de lift calcul\u00e9es sur le jeu de donn\u00e9es TEST\u00a0\u00bb et si possible, utiliser toujours le m\u00eame jeu de donn\u00e9es TEST.<\/p>\n<a class=\"cherry-btn cherry-btn-primary cherry-btn-small cherry-btn-inline cherry-btn-fade custom-button-1  button-950\" target=\"_self\" href=\"\/academy\/of-the-utility-of-the-test-dataset\/\">Lire la suite (anglais)<\/a>\n<\/div>\n<\/div>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:100px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n<div class=\"row row-edge  \" >\n<div class=\"col-xs-12 col-sm-6 col-md-6 col-lg-6\">\n<h2>Toutes les lifts ne sont pas \u00e9gales<\/h2>\n<p>Lorsque nous construisons un mod\u00e8le qui ne fait aucune erreur sur l'\u00a0\u00bbensemble de donn\u00e9es d&rsquo;entra\u00eenement\u00a0\u00bb, nous obtenons un mod\u00e8le qui n&rsquo;est pas performant sur des donn\u00e9es non vues. La \u00ab\u00a0capacit\u00e9 de g\u00e9n\u00e9ralisation\u00a0\u00bb de notre mod\u00e8le est faible. Le mod\u00e8le pr\u00e9dictif utilise des informations qui \u00e9taient en r\u00e9alit\u00e9 des bruits. Ce ph\u00e9nom\u00e8ne est appel\u00e9 \u00ab\u00a0over-fitting\u00a0\u00bb. Un mod\u00e8le qui \u00ab\u00a0surajuste\u00a0\u00bb les donn\u00e9es peut avoir une pr\u00e9cision de 100 % lorsqu&rsquo;il est appliqu\u00e9 \u00e0 l&rsquo;ensemble d&rsquo;apprentissage.<\/p>\n<a class=\"cherry-btn cherry-btn-primary cherry-btn-small cherry-btn-inline cherry-btn-fade custom-button-1  button-830\" target=\"_self\" href=\"\/academy\/bi-overfitting\/\">Lire la suite (anglais)<\/a>\n<\/div>\n<div class=\"col-xs-12 col-sm-6 col-md-6 col-lg-6\">\n<a class=\"single-popup-image\" href=\"\/academy\/bi-overfitting\/\"><img decoding=\"async\" loading=\"lazy\" class=\"alignleft size-full wp-image-2935\" src=\"\/wp-content\/uploads\/2016\/08\/predictiveModel2.png\" alt=\"predictiveModel2\" width=\"810\" height=\"380\" srcset=\"https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/predictiveModel2.png 810w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/predictiveModel2-600x281.png 600w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/predictiveModel2-300x141.png 300w, https:\/\/timi.eu\/wp-content\/uploads\/2016\/08\/predictiveModel2-768x360.png 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/a><br \/>\n<\/div>\n<\/div>\n<div class=\"cherry-spacer   hidden-xs hidden-sm\" style=\"height:100px;\"><\/div><div class=\"cherry-spacer   visible-sm-block\" style=\"height:50px;\"><\/div><div class=\"cherry-spacer   visible-xs-block\" style=\"height:50px;\"><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/pages\/16839"}],"collection":[{"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/comments?post=16839"}],"version-history":[{"count":11,"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/pages\/16839\/revisions"}],"predecessor-version":[{"id":18565,"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/pages\/16839\/revisions\/18565"}],"wp:attachment":[{"href":"https:\/\/timi.eu\/fr\/wp-json\/wp\/v2\/media?parent=16839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}