En intelligence artificielle et en apprentissage automatique, la r\u00e9gression est une technique de pr\u00e9diction puissante. Qu’est-ce que la r\u00e9gression ? C’est une m\u00e9thode qui pr\u00e9dit une valeur continue (une quantit\u00e9) plut\u00f4t que des cat\u00e9gories.<\/p>\n
Imaginez que vous essayez de pr\u00e9dire le prix d’une maison en fonction de sa superficie. Vous pourriez collecter des donn\u00e9es sur les prix et les superficies de nombreuses maisons. La r\u00e9gression trouve la \u00ab\u00a0meilleure\u00a0\u00bb ligne (ou un autre type de courbe) qui repr\u00e9sente la relation entre la superficie et le prix. Cette ligne vous permet ensuite d’estimer le prix d’une nouvelle maison dont vous connaissez uniquement la superficie. En d’autres termes, la r\u00e9gression mod\u00e9lise la relation entre une variable cible (le prix) et une ou plusieurs variables explicatives (la superficie).
\nDiff\u00e9rents types de r\u00e9gression existent, comme la r\u00e9gression lin\u00e9aire (relation en ligne droite), la r\u00e9gression polynomiale (relation en courbe), etc. Le choix du type de r\u00e9gression d\u00e9pend de la nature de la relation entre les variables.<\/p>\n
La r\u00e9gression est essentielle pour de nombreuses applications en IA et en apprentissage automatique. En prompt engineering<\/em>, elle peut \u00eatre utilis\u00e9e pour pr\u00e9dire l’efficacit\u00e9 d’un prompt en fonction de certaines caract\u00e9ristiques. Par exemple, on pourrait pr\u00e9dire le taux de clics sur un bouton en fonction de la formulation du texte qui l’accompagne. <\/p>\n En intelligence artificielle et en apprentissage automatique, la r\u00e9gression est une technique de pr\u00e9diction puissante. Qu’est-ce que la r\u00e9gression ? C’est une m\u00e9thode qui pr\u00e9dit une valeur continue (une quantit\u00e9) plut\u00f4t que des cat\u00e9gories. Comment fonctionne la r\u00e9gression ? Imaginez que vous essayez de pr\u00e9dire le prix d’une maison en fonction de sa superficie. Vous […]<\/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":[59],"tags":[44,135,133,42,132,134],"class_list":["post-222","post","type-post","status-publish","format-standard","hentry","category-r","tag-apprentissage-automatique","tag-modele-statistique","tag-prediction","tag-regression","tag-variable-cible","tag-variable-explicative"],"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":"En intelligence artificielle et en apprentissage automatique, la r\u00e9gression est une technique de pr\u00e9diction puissante. Qu’est-ce que la r\u00e9gression ? C’est une m\u00e9thode qui pr\u00e9dit une valeur continue (une quantit\u00e9) plut\u00f4t que des cat\u00e9gories. Comment fonctionne la r\u00e9gression ? Imaginez que vous essayez de pr\u00e9dire le prix d’une maison en fonction de sa superficie. Vous\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/222","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=222"}],"version-history":[{"count":2,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/222\/revisions"}],"predecessor-version":[{"id":619,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/222\/revisions\/619"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=222"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=222"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=222"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Exemples d’utilisation de r\u00e9gression<\/h3>\n
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Termes associ\u00e9s<\/h3>\n
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