{"id":806,"date":"2025-01-31T06:24:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/p\/definition_pretraitement-des-donnees\/"},"modified":"2025-06-05T23:33:35","modified_gmt":"2025-06-05T21:33:35","slug":"definition-pretraitement-des-donnees","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/p\/definition-pretraitement-des-donnees\/","title":{"rendered":"Pr\u00e9traitement des donn\u00e9es"},"content":{"rendered":"<p>Le pr\u00e9traitement des donn\u00e9es est une \u00e9tape cruciale en intelligence artificielle, et tout particuli\u00e8rement en prompt engineering. Il s&rsquo;agit du processus de nettoyage et de transformation des donn\u00e9es brutes pour les rendre exploitables par les algorithmes d&rsquo;IA.<\/p>\n<h3>Comment fonctionne le Pr\u00e9traitement des donn\u00e9es ?<\/h3>\n<p>Imaginez que vous pr\u00e9parez une soupe. Vos donn\u00e9es brutes sont les l\u00e9gumes du jardin\u00a0: terreux, de tailles diff\u00e9rentes, avec quelques parties ab\u00eem\u00e9es. Le pr\u00e9traitement, c\u2019est comme laver, \u00e9plucher et couper les l\u00e9gumes\u00a0: vous nettoyez les donn\u00e9es en supprimant les informations inutiles ou erron\u00e9es (le terreau, les parties ab\u00eem\u00e9es), vous les uniformisez (les couper en morceaux)\u00a0; et vous les transformez dans un format adapt\u00e9 \u00e0 la recette (votre algorithme), par exemple en les mixant pour un velout\u00e9 ou en les laissant en morceaux pour une soupe plus rustique.  Ce processus peut inclure le nettoyage des donn\u00e9es (suppression des doublons, correction des erreurs), la transformation des donn\u00e9es (mise \u00e0 l&rsquo;\u00e9chelle, encodage) et la r\u00e9duction de la dimensionnalit\u00e9 (s\u00e9lection des caract\u00e9ristiques les plus importantes).<\/p>\n<h3>Pourquoi le Pr\u00e9traitement des donn\u00e9es est-il important\u00a0?<\/h3>\n<p>Un bon pr\u00e9traitement des donn\u00e9es est essentiel pour garantir la performance et la fiabilit\u00e9 des mod\u00e8les d&rsquo;IA.  Des donn\u00e9es mal pr\u00e9par\u00e9es peuvent conduire \u00e0 des r\u00e9sultats biais\u00e9s, impr\u00e9cis ou tout simplement inexploitables. En prompt engineering, le pr\u00e9traitement permet d&rsquo;optimiser les prompts pour obtenir des r\u00e9ponses plus pertinentes et coh\u00e9rentes de la part des mod\u00e8les de langage. Par exemple, en supprimant les informations inutiles d&rsquo;un texte avant de le soumettre \u00e0 un mod\u00e8le, on peut am\u00e9liorer la pr\u00e9cision et la vitesse de traitement.  Un autre exemple concret est la tokenisation qui pr\u00e9pare le texte pour le mod\u00e8le en le d\u00e9coupant en unit\u00e9s plus petites et en rempla\u00e7ant les mots par des identifiants num\u00e9riques.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Nettoyage+des+donn%C3%A9es\">Nettoyage des donn\u00e9es<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Transformation+des+donn%C3%A9es\">Transformation des donn\u00e9es<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=R%C3%A9duction+de+la+dimensionnalit%C3%A9\">R\u00e9duction de la dimensionnalit\u00e9<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Feature+engineering\">Feature engineering<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Tokenisation\">Tokenisation<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Le pr\u00e9traitement des donn\u00e9es est une \u00e9tape cruciale en intelligence artificielle, et tout particuli\u00e8rement en prompt engineering. Il s&rsquo;agit du processus de nettoyage et de transformation des donn\u00e9es brutes pour les rendre exploitables par les algorithmes d&rsquo;IA. Comment fonctionne le Pr\u00e9traitement des donn\u00e9es ? Imaginez que vous pr\u00e9parez une soupe. Vos donn\u00e9es brutes sont les [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[71],"tags":[394,250,395,66,249,414],"class_list":["post-806","post","type-post","status-publish","format-standard","hentry","category-p","tag-feature-engineering","tag-nettoyage-des-donnees","tag-pretraitement-des-donnees","tag-reduction-de-la-dimensionnalite","tag-tokenisation","tag-transformation-des-donnees"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Le pr\u00e9traitement des donn\u00e9es est une \u00e9tape cruciale en intelligence artificielle, et tout particuli\u00e8rement en prompt engineering. Il s&rsquo;agit du processus de nettoyage et de transformation des donn\u00e9es brutes pour les rendre exploitables par les algorithmes d&rsquo;IA. Comment fonctionne le Pr\u00e9traitement des donn\u00e9es ? Imaginez que vous pr\u00e9parez une soupe. Vos donn\u00e9es brutes sont les\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/806","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=806"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/806\/revisions"}],"predecessor-version":[{"id":1014,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/806\/revisions\/1014"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}