{"id":9945,"date":"2023-10-26T19:45:40","date_gmt":"2023-10-26T18:45:40","guid":{"rendered":"https:\/\/total-depannage.com\/introduction-to-supervised-machine-learning-algorithms-french\/"},"modified":"2023-10-26T21:32:01","modified_gmt":"2023-10-26T20:32:01","slug":"introduction-to-supervised-machine-learning-algorithms-french","status":"publish","type":"post","link":"https:\/\/total-depannage.com\/introduction-to-supervised-machine-learning-algorithms-french\/","title":{"rendered":"Introduction aux algorithmes d’apprentissage automatique supervis\u00e9"},"content":{"rendered":"

L’apprentissage automatique supervis\u00e9 est une branche de l’intelligence artificielle qui vise \u00e0 d\u00e9velopper des algorithmes capables d’apprendre \u00e0 partir de donn\u00e9es pour effectuer des pr\u00e9visions ou prendre des d\u00e9cisions. Dans cet article, nous allons explorer les concepts fondamentaux des algorithmes d’apprentissage automatique supervis\u00e9s, et fournir des tutoriels et des conseils pratiques pour les utilisateurs des syst\u00e8mes d’exploitation Windows, Linux et Apple. Nous aborderons \u00e9galement une section FAQ \u00e0 la fin de l’article pour r\u00e9pondre aux questions les plus courantes.<\/p>\n

Introduction \u00e0 l’apprentissage automatique supervis\u00e9
\nL’apprentissage automatique supervis\u00e9 consiste \u00e0 entra\u00eener un mod\u00e8le \u00e0 partir de donn\u00e9es \u00e9tiquet\u00e9es, c’est-\u00e0-dire des donn\u00e9es accompagn\u00e9es d’\u00e9tiquettes ou de cat\u00e9gories pr\u00e9d\u00e9finies. Le mod\u00e8le apprend \u00e0 partir de ces donn\u00e9es et peut ensuite \u00eatre utilis\u00e9 pour pr\u00e9dire ou cat\u00e9goriser de nouvelles donn\u00e9es similaires.<\/p>\n

Les diff\u00e9rents types d’algorithmes d’apprentissage automatique supervis\u00e9s
\nIl existe plusieurs types d’algorithmes d’apprentissage automatique supervis\u00e9s, tels que les arbres de d\u00e9cision, les r\u00e9seaux de neurones, les machines \u00e0 vecteurs de support, etc. Chaque algorithme a ses propres caract\u00e9ristiques et convient \u00e0 diff\u00e9rents types de probl\u00e8mes.<\/p>\n

Tutoriels pour les utilisateurs de Windows, Linux et Apple
\nDans cet article, nous fournirons des tutoriels pour les utilisateurs des syst\u00e8mes d’exploitation Windows, Linux et Apple, afin de leur permettre de mettre en pratique les concepts d’apprentissage automatique supervis\u00e9.<\/p>\n

Pour les utilisateurs de Windows, nous proposerons des tutoriels tels que l’installation et la configuration de l’environnement Python, la cr\u00e9ation d’un mod\u00e8le de r\u00e9gression lin\u00e9aire simple \u00e0 l’aide de scikit-learn, et l’utilisation de TensorFlow pour cr\u00e9er un mod\u00e8le de r\u00e9seau de neurones profonds.<\/p>\n

Pour les utilisateurs de Linux, nous proposerons des tutoriels tels que l’installation et la configuration de l’environnement Python, la cr\u00e9ation d’un mod\u00e8le de classification \u00e0 l’aide de l’algorithme des k plus proches voisins (k-NN), et l’utilisation de PyTorch pour entra\u00eener un mod\u00e8le de r\u00e9seau de neurones convolutifs.<\/p>\n

Pour les utilisateurs d’Apple, nous proposerons des tutoriels tels que l’installation et la configuration de l’environnement Python, l’utilisation de la biblioth\u00e8que Core ML d’Apple pour entra\u00eener un mod\u00e8le de reconnaissance d’images, et la cr\u00e9ation d’un mod\u00e8le de r\u00e9gression logistique \u00e0 l’aide de scikit-learn.<\/p>\n

FAQ – Questions fr\u00e9quemment pos\u00e9es
\nDans cette section, nous r\u00e9pondrons aux questions les plus courantes sur l’apprentissage automatique supervis\u00e9, telles que la diff\u00e9rence entre l’apprentissage automatique supervis\u00e9 et l’apprentissage automatique non supervis\u00e9, comment choisir le bon algorithme d’apprentissage automatique supervis\u00e9 pour un probl\u00e8me donn\u00e9, et les pr\u00e9requis pour commencer \u00e0 utiliser l’apprentissage automatique supervis\u00e9 sur un ordinateur.<\/p>\n

Liens externes
\nPour approfondir votre compr\u00e9hension du sujet, nous fournirons \u00e9galement des liens vers des sites fran\u00e7ais traitant du m\u00eame sujet.<\/p>\n

SEO – Optimisation pour les moteurs de recherche
\nNous veillerons \u00e0 optimiser cet article pour les moteurs de recherche afin qu’il soit facilement trouv\u00e9 par les lecteurs int\u00e9ress\u00e9s. Nous inclurons des mots-cl\u00e9s pertinents, des balises m\u00e9ta, utiliserons des titres HTML appropri\u00e9s, et veillerons \u00e0 la structure et \u00e0 la clart\u00e9 du contenu pour favoriser son classement dans les r\u00e9sultats de recherche.<\/p>\n

En conclusion, cet article vous fournira une introduction compl\u00e8te aux algorithmes d’apprentissage automatique supervis\u00e9s, ainsi que des tutoriels et des conseils pratiques pour les utilisateurs des syst\u00e8mes d’exploitation Windows, Linux et Apple. Vous pourrez \u00e9galement trouver des r\u00e9ponses \u00e0 vos questions les plus fr\u00e9quentes dans la section FAQ. N’h\u00e9sitez pas \u00e0 consulter les liens externes vers des sites fran\u00e7ais pour approfondir votre compr\u00e9hension du sujet.<\/p>\n","protected":false},"excerpt":{"rendered":"

L’apprentissage automatique supervis\u00e9 est une branche de l’intelligence artificielle qui vise \u00e0 d\u00e9velopper des algorithmes capables d’apprendre \u00e0 partir de […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"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-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":"","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-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":"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":""},"mobile":{"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":""}},"footnotes":""},"categories":[1],"tags":[273,155,260,272,266,271,264,270,265,276,166,169,278,159,151,171,279,168,167,274,158,150,259,163,160,165,157,154,161,152,162,275,261,277,267,269,164,268,262,156,263,153],"class_list":["post-9945","post","type-post","status-publish","format-standard","hentry","category-les_infos_geek","tag-algorithmes-dia","tag-applications","tag-apprentissage-automatique","tag-apprentissage-automatique-supervise","tag-apprentissage-non-supervise","tag-apprentissage-par-transfert","tag-apprentissage-profond","tag-apprentissage-renforce","tag-apprentissage-supervise","tag-auto-encodeurs","tag-c","tag-conception-de-sites-web","tag-conception-dapplications-mobiles","tag-css","tag-developpement","tag-developpement-de-logiciels","tag-developpement-dapplications","tag-developpement-mobile","tag-developpement-web","tag-donnees-dentrainement","tag-html","tag-informatique","tag-intelligence-artificielle","tag-java","tag-javascript","tag-kotlin","tag-langages-de-programmation","tag-mobile","tag-php","tag-programmation","tag-python","tag-reconnaissance-dobjets","tag-reseau-de-neurones","tag-reseaux-de-neurones-recurrents","tag-reseaux-neuronaux-convolutifs","tag-robotique-intelligente","tag-swift","tag-traitement-automatique-du-signal","tag-traitement-du-langage-naturel","tag-tutoriels","tag-vision-par-ordinateur","tag-web"],"yoast_head":"\nIntroduction aux algorithmes d'apprentissage automatique supervis\u00e9 - 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