Imaginez des donn\u00e9es qui \u00e9voluent dans le temps, comme la temp\u00e9rature au fil des jours ou le cours de la bourse. Ce sont des s\u00e9ries temporelles : des s\u00e9quences de donn\u00e9es index\u00e9es dans le temps.<\/p>\n
Une s\u00e9rie temporelle est une collection de points de donn\u00e9es, chacun associ\u00e9 \u00e0 un horodatage pr\u00e9cis. En visualisant ces donn\u00e9es, on peut observer leur fluctuation, identifier des tendances et faire des pr\u00e9dictions. Pensez \u00e0 un graphique affichant la temp\u00e9rature quotidienne : l’axe horizontal repr\u00e9sente le temps (jours, mois, etc.), et l’axe vertical repr\u00e9sente la valeur de la temp\u00e9rature mesur\u00e9e \u00e0 chaque instant. L’analyse de la courbe vous permet de voir comment la temp\u00e9rature a \u00e9volu\u00e9 au fil du temps.<\/p>\n
Les s\u00e9ries temporelles sont essentielles en IA car elles permettent aux algorithmes d’apprendre des sch\u00e9mas temporels et de faire des pr\u00e9dictions. Par exemple, en analysant les cours boursiers pass\u00e9s, un algorithme d’apprentissage automatique peut essayer de pr\u00e9dire les fluctuations futures. En prompt engineering, la compr\u00e9hension des s\u00e9ries temporelles peut \u00eatre utile pour g\u00e9n\u00e9rer du texte qui suit une chronologie ou pour analyser l’\u00e9volution des requ\u00eates des utilisateurs au fil du temps. Un exemple concret est la pr\u00e9diction de la demande d’un produit en fonction des ventes pass\u00e9es, ce qui permet d’optimiser les stocks et la production.<\/p>\n
Imaginez des donn\u00e9es qui \u00e9voluent dans le temps, comme la temp\u00e9rature au fil des jours ou le cours de la bourse. Ce sont des s\u00e9ries temporelles : des s\u00e9quences de donn\u00e9es index\u00e9es dans le temps. Comment fonctionnent les s\u00e9ries temporelles ? Une s\u00e9rie temporelle est une collection de points de donn\u00e9es, chacun associ\u00e9 \u00e0 un […]<\/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":[94],"tags":[55,229,502,41,503,195],"class_list":["post-885","post","type-post","status-publish","format-standard","hentry","category-s","tag-analyse-predictive","tag-deep-learning","tag-donnees-temporelles","tag-machine-learning","tag-prevision","tag-series-temporelles"],"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":"Imaginez des donn\u00e9es qui \u00e9voluent dans le temps, comme la temp\u00e9rature au fil des jours ou le cours de la bourse. Ce sont des s\u00e9ries temporelles : des s\u00e9quences de donn\u00e9es index\u00e9es dans le temps. Comment fonctionnent les s\u00e9ries temporelles ? Une s\u00e9rie temporelle est une collection de points de donn\u00e9es, chacun associ\u00e9 \u00e0 un\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/885","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=885"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/885\/revisions"}],"predecessor-version":[{"id":1036,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/885\/revisions\/1036"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}