{"id":155860,"date":"2023-06-01T17:25:00","date_gmt":"2023-06-01T17:25:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=155860"},"modified":"2025-01-29T14:29:15","modified_gmt":"2025-01-29T14:29:15","slug":"methode-kernel-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/methode-kernel-tout-savoir","title":{"rendered":"M\u00e9thode Kernel : En quoi \u00e7a consiste ? Quels avantages ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"155860\" class=\"elementor elementor-155860\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-23e0b27 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"23e0b27\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9d91682\" data-id=\"9d91682\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-85f5192 elementor-widget elementor-widget-heading\" data-id=\"85f5192\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Le Kernel est une m\u00e9thode de classification de Machine Learning. D\u00e9couvrez tout ce que vous devez savoir \u00e0 ce sujet, et comment suivre une formation pour devenir Data Scientist ou Data Analyst. <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a787420 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a787420\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8436d2c\" data-id=\"8436d2c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c49d824 elementor-widget elementor-widget-heading\" data-id=\"c49d824\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Le Kernel qu'est-ce que c'est ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1582fd elementor-widget elementor-widget-text-editor\" data-id=\"e1582fd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Dans le domaine du Machine Learning,<strong> la m\u00e9thode Kernel<\/strong> consiste \u00e0 utiliser un classificateur lin\u00e9aire pour r\u00e9soudre un probl\u00e8me non-lin\u00e9aire. Pour y parvenir, on transforme <strong>un set de donn\u00e9es lin\u00e9airement ins\u00e9parable en un ensemble lin\u00e9airement s\u00e9parable<\/strong> comme dans l\u2019exemple ci-dessous en la passant dans un espace \u00e0 dimension sup\u00e9rieure.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0892f49 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0892f49\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a6674cc\" data-id=\"a6674cc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-99ed49e elementor-widget elementor-widget-image\" data-id=\"99ed49e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/06\/jeux-de-donnees-lineaires-non-lineaires.jpg\" title=\"\" alt=\"jeux-de-donn\u00e9es-lin\u00e9aires-non-lin\u00e9aires\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9f577fe elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9f577fe\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1c42f64\" data-id=\"1c42f64\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7635861 elementor-widget elementor-widget-heading\" data-id=\"7635861\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">A quoi sert le Kernel ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53c1146 elementor-widget elementor-widget-text-editor\" data-id=\"53c1146\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Le kernel se r\u00e9v\u00e8le par exemple tr\u00e8s utile pour <a href=\"https:\/\/datascientest.com\/dataset-definition\">s\u00e9parer deux classes au sein d&rsquo;un ensemble de donn\u00e9es<\/a> \u00e0 deux dimensions, o\u00f9 les donn\u00e9es ne sont pas s\u00e9parables lin\u00e9airement.<\/p><p>L&rsquo;utilisation d&rsquo;une<strong> fonction polynomiale<\/strong> compliquerait le probl\u00e8me de classification. Il est donc pr\u00e9f\u00e9rable de transformer les donn\u00e9es dans <strong>un espace 3D<\/strong> o\u00f9 les donn\u00e9es deviennent s\u00e9parables par un classificateur lin\u00e9aire.<\/p><p>Il devient alors possible de transformer les donn\u00e9es de<strong> la 2D vers la 3D<\/strong>, de trouver une fronti\u00e8re de d\u00e9cision lin\u00e9aire en adaptant le classificateur lin\u00e9aire dans l&rsquo;espace 3D, et de cartographier la fronti\u00e8re de d\u00e9cision lin\u00e9aire \u00e0 nouveau dans l&rsquo;espace 2D pour cr\u00e9er une <strong>fronti\u00e8re de d\u00e9cision<\/strong> non-lin\u00e9aire en 2D.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c1bf3d0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c1bf3d0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ba41728\" data-id=\"ba41728\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c0cd280 elementor-widget elementor-widget-image\" data-id=\"c0cd280\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"319\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/kernel-classification-lineaire-1-1024x408.jpg\" class=\"attachment-large size-large wp-image-155888\" alt=\"kernel-classification-lin\u00e9aire\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/kernel-classification-lineaire-1-1024x408.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/kernel-classification-lineaire-1-300x120.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/kernel-classification-lineaire-1-768x306.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/kernel-classification-lineaire-1.jpg 1520w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-50715da e-flex e-con-boxed e-con\" data-id=\"50715da\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-93733e1 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"93733e1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/formation-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Ma\u00eetriser la m\u00e9thode Kernel<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9e8b143 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9e8b143\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bf2b210\" data-id=\"bf2b210\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c1a989 elementor-widget elementor-widget-heading\" data-id=\"7c1a989\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">O\u00f9 utilise-t-on le Kernel ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fba8569 elementor-widget elementor-widget-text-editor\" data-id=\"fba8569\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Il existe <a href=\"https:\/\/datascientest.com\/algorithme-tout-savoir\">diff\u00e9rents algorithmes<\/a> bas\u00e9s sur <strong>le kernel en Machine Learning<\/strong>, comme la <strong>Fonction de Base Radiale R\u00e9gularis\u00e9e<\/strong> (Rdg RBFNN), la <strong>Machine \u00e0 Vecteurs de Support<\/strong> (SVM), l&rsquo;analyse de discriminant <strong>Kernel-Fisher<\/strong> (KFD), ou encore l&rsquo;<strong>Adaboost r\u00e9gularis\u00e9 <\/strong>(Reg AB). Parmi ces mod\u00e8les, l&rsquo;approche la plus utilis\u00e9e est la <strong>Machine \u00e0 Vecteurs de Support<\/strong> (SVM).<\/p><p>On distingue le SVM lin\u00e9aire classique pour la classification lin\u00e9aire, du SVM non-lin\u00e9aire pour lequel on utilise le Kernel afin de <strong>cartographier les patterns<\/strong> des dimensions des plus basses aux plus hautes.<\/p><p>Cette m\u00e9thode permet de traiter les donn\u00e9es lin\u00e9airement ins\u00e9parables et de cr\u00e9er des combinaisons non lin\u00e9aires des caract\u00e9ristiques originales vers un espace \u00e0 plus haute dimension via une <strong>fonction de mapping<\/strong> o\u00f9 la s\u00e9paration lin\u00e9aire devient possible. Le kernel le plus utilis\u00e9 pour SVM est le kernel RBF ou le kernel Gaussien.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4b0b957 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4b0b957\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5029c7e\" data-id=\"5029c7e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2082233 elementor-widget elementor-widget-image\" data-id=\"2082233\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/06\/kernel-gaussien.jpg\" title=\"\" alt=\"kernel-gaussien\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6a5d2ee elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6a5d2ee\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c5bf44e\" data-id=\"c5bf44e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f7f83c3 elementor-widget elementor-widget-heading\" data-id=\"f7f83c3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Peut-on se former au Kernel ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0ea944b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0ea944b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7335027\" data-id=\"7335027\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-653f758 elementor-widget elementor-widget-text-editor\" data-id=\"653f758\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Pour apprendre <a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\">les m\u00e9thodes de Machine Learning<\/a>, vous pouvez choisir un des programmes propos\u00e9 par <a href=\"https:\/\/datascientest.com\/\">DataScientest<\/a>. Plusieurs de nos formations comportent un module enti\u00e8rement d\u00e9di\u00e9 \u00e0 l&rsquo;apprentissage automatique.<\/p><p>Le module Machine Learning du <a href=\"https:\/\/datascientest.com\/formation-data-analyst\">cursus Data Analyst<\/a> aborde les m\u00e9thodes de clustering et de r\u00e9gression avec <strong>Scikit-learn<\/strong>. Les autres modules de cette formation couvrent les sujets de programmation, la <strong>DataViz<\/strong>, les bases de donn\u00e9es et la <strong>Business Intelligence<\/strong>. \u00c0 la fin du parcours, vous aurez toutes les comp\u00e9tences requises pour exercer le r\u00f4le de Data Analyst.<\/p><p><a href=\"https:\/\/datascientest.com\/formation-data-scientist\">Notre formation Data Scientist<\/a> comporte quant \u00e0 elle deux modules d\u00e9di\u00e9s au Machine Learning. Le premier aborde le Machine Learning supervis\u00e9 avec les m\u00e9thodes de r\u00e9gression et la classification simple et avanc\u00e9e. Tandis que le deuxi\u00e8me se concentre sur <a href=\"https:\/\/datascientest.com\/apprentissage-non-supervise\">l\u2019apprentissage non-supervis\u00e9<\/a> (ou <i>unsupervised learning<\/i>) contenant les m\u00e9thodes de clustering et de r\u00e9duction de dimension. Les sujets de <strong>Statsmodel<\/strong>, <strong>Text Mining<\/strong> et <strong>NetworkX <\/strong>sont \u00e9galement \u00e0 l\u2019\u00e9tude dans ce cursus. Les autres modules du programme sont d\u00e9di\u00e9s \u00e0 la programmation, la DataViz, <a href=\"https:\/\/datascientest.com\/deep-learning-definition\">le Deep Learning et l&rsquo;IA<\/a>. Ce cursus permet d&rsquo;acqu\u00e9rir toutes les comp\u00e9tences n\u00e9cessaire au poste de Data Scientist.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-403b270 e-flex e-con-boxed e-con\" data-id=\"403b270\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-520a6ba elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"520a6ba\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/formation-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir notre formation Data Analyst<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-77ba2cd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"77ba2cd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c479c8e\" data-id=\"c479c8e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-551ed9f elementor-widget elementor-widget-text-editor\" data-id=\"551ed9f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Pour aller plus loin, nous proposons aussi <a href=\"https:\/\/datascientest.com\/formation-machine-learning-engineer\">un cursus expert de Machine Learning Engineer<\/a>. Cette formation continue de 7 mois ou en temps partiels de 16 mois vient compl\u00e9ter <strong>la formation Data Scientist<\/strong>. Elle permet d&rsquo;apprendre \u00e0 mettre en production les mod\u00e8les de Machine Learning gr\u00e2ce aux techniques d&rsquo;ing\u00e9nierie, ce qui repr\u00e9sente <strong>une comp\u00e9tence tr\u00e8s convoit\u00e9e en entreprise<\/strong>.<\/p><p>Toutes nos formations s&rsquo;effectuent en ligne, et se composent de 85% d&rsquo;<strong>apprentissage en asynchrone <\/strong>sur notre plateforme coach\u00e9e et de 15% de cours \u00e0 distance (synchrones).\u00a0<\/p><p>Hormis les cursus expert, nos programmes peuvent \u00eatre compl\u00e9t\u00e9s en <strong>Formation Continue<\/strong> ou en <strong>Bootcamp intensif<\/strong>.<\/p><p>Concernant le financement, tous nos cursus sont \u00e9ligibles au Compte Personnel de Formation. N&rsquo;attendez plus et <a href=\"https:\/\/datascientest.com\/formations-data\">d\u00e9couvrez les formations DataScientest<\/a> !<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-0fcc4e3 e-flex e-con-boxed e-con\" data-id=\"0fcc4e3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eac1e79 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"eac1e79\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=sIbCKaz-oZQ&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ce7db71 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"ce7db71\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir nos formations en Big Data<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94dfd12 elementor-widget elementor-widget-html\" data-id=\"94dfd12\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Comment apprendre la m\u00e9thode Kernel et le Machine Learning ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Dans le Machine Learning, les Kernels peuvent aider \u00e0 construire des fronti\u00e8res de d\u00e9cisions non lin\u00e9aires \u00e0 l'aide de classificateurs lin\u00e9aires. Cette m\u00e9thode est donc particuli\u00e8rement utile. Pour apprendre les m\u00e9thodes de Machine Learning, vous pouvez choisir DataScientest. Plusieurs de nos formations comportent un module enti\u00e8rement d\u00e9di\u00e9 \u00e0 l'apprentissage automatique. Le module Machine Learning du cursus Data Analyst aborde les m\u00e9thodes de clustering et de r\u00e9gression, et Scikit-learn. Les autres modules de cette formation couvrent la programmation, la DataViz, les donn\u00e9es textes, le Big Data, les bases de donn\u00e9es et la Business Intelligence. \u00c0 la fin du parcours, vous aurez toutes les comp\u00e9tences requises pour exercer le r\u00f4le de Data Analyst. Notre formation Data Scientist comporte deux modules d\u00e9di\u00e9s au Machine Learning. Le premier aborde le Machine Learning supervis\u00e9 et non supervis\u00e9, la classification simple et avanc\u00e9e, et les m\u00e9thodes de clustering, r\u00e9gression et r\u00e9duction de dimension. Le module avanc\u00e9 couvre Statsmodel, Text Mining, et NetworkX. Les autres modules du programme sont d\u00e9di\u00e9s \u00e0 la programmation, la DataViz, le Deep Learning et l'IA. Ce cursus permet d'acqu\u00e9rir toutes les comp\u00e9tences de Data Scientist.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu'est-ce que la m\u00e9thode Kernel ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Dans le domaine du Machine Learning, la m\u00e9thode Kernel consiste \u00e0 utiliser un classificateur lin\u00e9aire pour r\u00e9soudre un probl\u00e8me non-lin\u00e9aire. Pour y parvenir, on transforme une donn\u00e9e lin\u00e9airement ins\u00e9parable en une donn\u00e9e lin\u00e9airement s\u00e9parable. Le kernel se r\u00e9v\u00e8le par exemple tr\u00e8s utile pour s\u00e9parer deux classes au sein d'un ensemble de donn\u00e9es \u00e0 deux dimensions, o\u00f9 les donn\u00e9es ne sont pas s\u00e9parables lin\u00e9airement. L'utilisation d'une fonction polynomiale compliquerait le probl\u00e8me de classification. Il est donc pr\u00e9f\u00e9rable de transformer les donn\u00e9es dans un espace 3D o\u00f9 les donn\u00e9es deviennent s\u00e9parables par un classificateur lin\u00e9aire.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Quelles sont les diff\u00e9rents types d'approches bas\u00e9es sur le kernel en Machine Learning ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Il existe diff\u00e9rents types d'approches bas\u00e9es sur le kernel en Machine Learning, comme la Fonction de Base Radiale R\u00e9gularis\u00e9e (Rdg RBFNN), la Machine \u00e0 Vecteurs de Support (SVM), l'analyse de discriminant kernel-fisher (KFD), ou l'Adaboost r\u00e9gularis\u00e9 (Reg AB). Parmi ces algorithmes, l'approche la plus utilis\u00e9e est la Machine \u00e0 Vecteurs de Support (SVM).\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Le Kernel est une m\u00e9thode de classification de Machine Learning. D\u00e9couvrez tout ce que vous devez savoir \u00e0 ce sujet, et comment suivre une formation pour devenir Data Scientist ou Data Analyst. Le Kernel qu&rsquo;est-ce que c&rsquo;est ? Dans le domaine du Machine Learning, la m\u00e9thode Kernel consiste \u00e0 utiliser un classificateur lin\u00e9aire pour r\u00e9soudre [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":155861,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>M\u00e9thode Kernel : En quoi \u00e7a consiste ? Quels avantages ?<\/title>\n<meta name=\"description\" content=\"La m\u00e9thode Kernel est une m\u00e9thode de classification de Machine Learning. 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