{"id":217922,"date":"2024-07-30T06:30:00","date_gmt":"2024-07-30T06:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=217922"},"modified":"2024-08-30T12:27:34","modified_gmt":"2024-08-30T12:27:34","slug":"quantification-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/quantification-tout-savoir","title":{"rendered":"La quantification &#8211; la simplification de la mesure des m\u00e9triques"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"217922\" class=\"elementor elementor-217922\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-76da6fe e-flex e-con-boxed e-con\" data-id=\"76da6fe\" 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-c84b915 elementor-widget elementor-widget-heading\" data-id=\"c84b915\" 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\">Les variables de donn\u00e9es sont parfois tellement importantes que les ordinateurs sont incapables de les traiter efficacement. C\u2019est \u00e0 cet instant qu\u2019intervient la quantification. Cette discipline transforme les donn\u00e9es continues en donn\u00e9es discr\u00e8tes pour simplifier la mesure des m\u00e9triques. \n<\/h2>\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<div class=\"elementor-element elementor-element-240f082 e-flex e-con-boxed e-con\" data-id=\"240f082\" 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-90eef11 elementor-widget elementor-widget-heading\" data-id=\"90eef11\" 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-large\">C\u2019est quoi la quantification ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a283359 elementor-widget elementor-widget-heading\" data-id=\"a283359\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">D\u00e9finition de la quantification\n<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5dd4e7f elementor-widget elementor-widget-text-editor\" data-id=\"5dd4e7f\" 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><span style=\"font-weight: 400;\">La quantification est une notion math\u00e9matique dont l\u2019objectif est d\u2019<\/span><b>associer une valeur num\u00e9rique \u00e0 un objet d\u2019\u00e9tude.\u00a0 <\/b><span style=\"font-weight: 400;\">L\u2019objectif est alors de <\/span><a href=\"https:\/\/datascientest.com\/numeriser-des-variables\"><span style=\"font-weight: 400;\">quantifier tous types de donn\u00e9es qualitatives<\/span><\/a><span style=\"font-weight: 400;\">, qu\u2019il s\u2019agisse de textes, d\u2019images, de vid\u00e9os, etc.<\/span><\/p><p><span style=\"font-weight: 400;\">Cette m\u00e9thode repose sur :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Le comptage<\/b><span style=\"font-weight: 400;\"> : cela concerne l\u2019objet d\u2019\u00e9tude ou l&rsquo;\u00e9v\u00e9nement \u00e0 quantifier.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La mesure<\/b><span style=\"font-weight: 400;\"> : il s\u2019agit d\u2019assigner une valeur num\u00e9rique \u00e0 certains aspects de l\u2019objet d\u2019\u00e9tude selon une r\u00e8gle de convention. Mais attention, la mesure ne vise pas directement l\u2019objet. Par exemple, il n\u2019est pas possible de mesurer des individus en tant que tels, mais plusieurs caract\u00e9ristiques de ces individus, comme leur \u00e2ge, leur poids, leur taille, etc.\u00a0<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Outre les donn\u00e9es qualitatives, la quantification peut aussi \u00eatre utilis\u00e9e pour les donn\u00e9es num\u00e9riques quantitatives qui pr\u00e9sentent trop de valeurs possibles. L\u00e0 encore, l\u2019objectif est de simplifier leur traitement par un ordinateur. Pour cela, il convient de convertir une information continue (qui pr\u00e9sente une infinit\u00e9 de valeurs possibles) en une information discr\u00e8te (ou un ensemble limit\u00e9 de valeurs).\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Quel que soit le type de donn\u00e9e quantifi\u00e9e, cette m\u00e9thode permet de <\/span><b>comparer plus facilement les informations entre elles. <\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f1f19b5 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f1f19b5\" 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\/formation-machine-learning-engineer\">\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 le Machine Learning<\/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-e2ebe2f elementor-widget elementor-widget-heading\" data-id=\"e2ebe2f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Champ d\u2019application \n<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79f93d6 elementor-widget elementor-widget-text-editor\" data-id=\"79f93d6\" 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><span style=\"font-weight: 400;\">La quantification s\u2019applique \u00e0 de nombreux domaines. Voici les principaux :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Les <\/span><b>math\u00e9matiques et la physique<\/b><span style=\"font-weight: 400;\"> : par exemple, dans la m\u00e9canique quantique, l&rsquo;\u00e9nergie d&rsquo;un \u00e9lectron dans un atome est quantifi\u00e9e. Les informations continues sont transform\u00e9es en informations discr\u00e8tes. C\u2019est-\u00e0-dire qu\u2019elles ne peuvent prendre que certaines valeurs sp\u00e9cifiques.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Le <\/span><b>traitement du signal<\/b><span style=\"font-weight: 400;\"> : lors de la num\u00e9risation d&rsquo;un signal analogique, comme un son ou une image, la quantification vise \u00e0 arrondir les valeurs mesur\u00e9es \u00e0 l&rsquo;une des valeurs d&rsquo;un ensemble fini. Cette \u00e9tape est indispensable, car les ordinateurs ne peuvent traiter que des nombres discrets.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Les sciences sociales<\/b><span style=\"font-weight: 400;\"> : il s&rsquo;agit de transformer des donn\u00e9es qualitatives (non num\u00e9riques) en donn\u00e9es quantitatives (num\u00e9riques). Notamment en attribuant des scores ou des indices \u00e0 des comportements ou des r\u00e9ponses.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Le machine learning <\/b><span>: la quantification intervient \u00e0 plusieurs niveaux du <\/span><a href=\"https:\/\/datascientest.com\/apprentissage-automatique\"><span>processus d\u2019apprentissage automatique<\/span><\/a><span>, notamment les donn\u00e9es d\u2019entr\u00e9e et l\u2019\u00e9valuation des m\u00e9triques.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dfa1d0a elementor-widget elementor-widget-image\" data-id=\"dfa1d0a\" 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\" width=\"900\" height=\"500\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning1.jpg\" class=\"attachment-full size-full wp-image-217931\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning1.jpg 900w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning1-300x167.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning1-768x427.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-84f4125 e-flex e-con-boxed e-con\" data-id=\"84f4125\" 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-9a36dde elementor-widget elementor-widget-heading\" data-id=\"9a36dde\" 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-large\">Quels sont les diff\u00e9rents types de quantification ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e58727 elementor-widget elementor-widget-text-editor\" data-id=\"9e58727\" 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><span style=\"font-weight: 400;\">Il existe diff\u00e9rents types de quantification. Voici les principaux.\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La quantification universelle<\/b><span style=\"font-weight: 400;\"> : elle se traduit \u00e0 travers les expressions de types <\/span><span style=\"font-weight: 400;\">\u201cpour tout &#8230; \u201c ou \u201c quel que soit &#8230; \u201c et se mat\u00e9rialise par le symbole \u2200. Par exemple, la formule \u2200xP(x) signifie tout objet du domaine consid\u00e9r\u00e9 poss\u00e8de la propri\u00e9t\u00e9 <\/span><i><span style=\"font-weight: 400;\">P.\u00a0<\/span><\/i><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La quantification existentielle<\/b><span style=\"font-weight: 400;\"> : cette quantification se<\/span><span style=\"font-weight: 400;\"> rapporte \u00e0 l\u2019expression \u201c il existe au moins un &#8230; \u201c et se mat\u00e9rialise par le symbole \u2203. Ici, la formule \u2203xP(x) signifie un objet au moins du domaine consid\u00e9r\u00e9 poss\u00e8de la propri\u00e9t\u00e9 <\/span><i><span style=\"font-weight: 400;\">P.\u00a0<\/span><\/i><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La quantification en traitement du signal<\/b><span style=\"font-weight: 400;\"> : l\u2019objectif est d\u2019assigner des valeurs d\u2019un ensemble discret \u00e0 un signal. Autrement dit, de d\u00e9terminer la valeur la plus proche dans un ensemble d\u2019arriv\u00e9e Y<\/span><span style=\"font-weight: 400;\"> \u00e0 partir d&rsquo;une valeur d&rsquo;entr\u00e9e d&rsquo;un espace <\/span><i><span style=\"font-weight: 400;\">X<\/span><\/i><span style=\"font-weight: 400;\">. <\/span><span style=\"font-weight: 400;\">Ce type de quantification concerne la conversion analogique num\u00e9rique, et notamment, la compression de signaux audio ou d\u2019image.\u00a0<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b7b3a5b elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"b7b3a5b\" 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\/formation-machine-learning-engineer\">\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\">En apprendre plus sur le Machine Learning<\/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-7deeb37 elementor-widget elementor-widget-heading\" data-id=\"7deeb37\" 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-large\">Quels sont les metrics utilis\u00e9s en Machine Learning ? \n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-13c386c elementor-widget elementor-widget-text-editor\" data-id=\"13c386c\" 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><span style=\"font-weight: 400;\">En <\/span><a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\">, la quantification permet de simplifier la mesure des m\u00e9triques. Voici quelques exemples :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La discr\u00e9tisation des variables : <\/b><span style=\"font-weight: 400;\">lorsque les donn\u00e9es d\u2019entr\u00e9e sont continues, il peut \u00eatre n\u00e9cessaire de les transformer en informations discr\u00e8tes, afin de simplifier leur traitement. Par exemple, pour les donn\u00e9es de revenus, il est plus pertinent de les discr\u00e9tiser en groupe de revenus (0 \u00e0 25 K \u20ac &#8211; 25 K \u00e0 50 K \u20ac &#8211; 50 \u00e0 100 K \u20ac &#8211; etc.).\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La classification <\/b><span style=\"font-weight: 400;\">: l\u2019id\u00e9e est d\u2019attribuer une cat\u00e9gorie \u00e0 diff\u00e9rents ensembles de donn\u00e9es (notamment \u00e0 travers <\/span><a href=\"https:\/\/datascientest.com\/algorithme-des-k-means\"><span style=\"font-weight: 400;\">l&rsquo;algorithme de clustering K-means<\/span><\/a><span style=\"font-weight: 400;\">). Par exemple, les commentaires des clients peuvent \u00eatre class\u00e9s en avis positif ou n\u00e9gatif. <\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La r\u00e9gularisation <\/b><span>: pour \u00e9viter la sur-optimisation de certains param\u00e8tres, il est possible d\u2019utiliser la quantification. Cette m\u00e9thode vise alors \u00e0 forcer les mod\u00e8les \u00e0 adopter des valeurs discr\u00e8tes pr\u00e9d\u00e9finies.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a359cb9 elementor-widget elementor-widget-image\" data-id=\"a359cb9\" 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=\"900\" height=\"500\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning2.jpg\" class=\"attachment-full size-full wp-image-217932\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning2.jpg 900w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning2-300x167.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning2-768x427.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-08dfd3c e-flex e-con-boxed e-con\" data-id=\"08dfd3c\" 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-e266638 elementor-widget elementor-widget-heading\" data-id=\"e266638\" 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\">Rejoignez DataScientest pour ma\u00eetriser le Machine Learning<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0d4325b elementor-widget elementor-widget-text-editor\" data-id=\"0d4325b\" 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><span style=\"font-weight: 400;\">Pour entra\u00eener efficacement les mod\u00e8les ML avec la quantification, les data scientist doivent ma\u00eetriser une multitude de concepts math\u00e9matiques. \u00c0 ce titre, une formation est plus que n\u00e9cessaire. C\u2019est justement possible avec DataScientest. Nous vous proposons des <\/span><a href=\"https:\/\/datascientest.com\/formation-data-scientist\"><span style=\"font-weight: 400;\">formations compl\u00e8tes <\/span><\/a><span style=\"font-weight: 400;\">en bootcamp, en continu ou en alternance.\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a73e57a elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a73e57a\" 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\/formation-machine-learning-engineer\">\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\">Se former au Machine Learning<\/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<div class=\"elementor-element elementor-element-5ee9a35 e-flex e-con-boxed e-con\" data-id=\"5ee9a35\" 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-c8e7b44 elementor-widget elementor-widget-html\" data-id=\"c8e7b44\" 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\": \"C\u2019est quoi la quantification ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"La quantification est une m\u00e9thode math\u00e9matique visant \u00e0 associer une valeur num\u00e9rique \u00e0 un objet d\u2019\u00e9tude. 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Ces techniques permettent de transformer les donn\u00e9es continues en informations discr\u00e8tes, facilitant ainsi leur traitement par les mod\u00e8les.\"\r\n      }\r\n    }]\r\n}\r\n<\/script>\r\n\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>Les variables de donn\u00e9es sont parfois tellement importantes que les ordinateurs sont incapables de les traiter efficacement. C\u2019est \u00e0 cet instant qu\u2019intervient la quantification. Cette discipline transforme les donn\u00e9es continues en donn\u00e9es discr\u00e8tes pour simplifier la mesure des m\u00e9triques. C\u2019est quoi la quantification ? D\u00e9finition de la quantification La quantification est une notion math\u00e9matique dont [&hellip;]<\/p>\n","protected":false},"author":77,"featured_media":217923,"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>La quantification - la simplification de la mesure des m\u00e9triques<\/title>\n<meta name=\"description\" content=\"En transformant des donn\u00e9es continues en informations discr\u00e8tes, la quantification est aussi utile en physique quantique qu\u2019en machine learning.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/quantification-tout-savoir\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"La quantification - la simplification de la mesure des m\u00e9triques\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/quantification-tout-savoir\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-30T06:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-30T12:27:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/quantification-machine-learning.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Raphael Kassel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Raphael Kassel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/quantification-tout-savoir\",\"url\":\"https:\/\/datascientest.com\/quantification-tout-savoir\",\"name\":\"La quantification - la simplification de la mesure des m\u00e9triques\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2024-07-30T06:30:00+00:00\",\"dateModified\":\"2024-08-30T12:27:34+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\"},\"description\":\"En transformant des donn\u00e9es continues en informations discr\u00e8tes, la quantification est aussi utile en physique quantique qu\u2019en machine learning.\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/quantification-tout-savoir\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/#website\",\"url\":\"https:\/\/datascientest.com\/\",\"name\":\"Formation Data Science | DataScientest.com\",\"description\":\"Leader de la formation en Data Science\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\",\"name\":\"Raphael Kassel\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg\",\"caption\":\"Raphael Kassel\"},\"description\":\"Raphael Kassel est le Head of Data Programs chez DataScientest. 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