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document.addEventListener("DOMContentLoaded", function() { let consentBodyTag = document.querySelector('body'); consentBodyTag.dataset.consentLoaded = 1; }); } else { let consentBodyTag = document.querySelector('body'); consentBodyTag.dataset.consentLoaded = 1; } window.privacyConsent.initialize(); window.dispatchEvent(consentLoaded); } }) .then(() => { if (typeof window.privacyConsent !== 'undefined') { return executeScripts(after); } else { throw new Error('window.privacyConsent is undefined (execute scripts)'); } }) .then(() => { if (typeof window.privacyConsent !== 'undefined') { window.privacyConsent.initialize(); } else { throw new Error('window.privacyConsent is undefined (last initialize)'); } }) .catch(error => { console.error(error); }); } window.loadPromisedConsentScripts = loadPromisedConsentScripts; const salesChannelControllerIdentifier = 'salesChannelGuides'; const guidesDataLayerName = 'guidesDataLayer'; let getTld = function (dl = {}) { let host = (window.location.host); if (dl.hasOwnProperty('prop7') && dl.prop7) { host = dl.prop7; } let hostArray = host.split('.'); let tld = hostArray[hostArray.length - 1]; if (host.indexOf('.co.uk') !== -1) { tld = hostArray[hostArray.length - 2] + '.' + hostArray[hostArray.length - 1]; } return (tld !== 'site' && tld !== 'lan') ? tld : 'de'; } let getCookieDomain = function (dl = {}) { let host = (window.location.host); if (dl.hasOwnProperty('prop7') && dl.prop7) { host = dl.prop7; } var hostArray = host.split('.'); if (hostArray[hostArray.length - 1] === 'uk') { return '.' + hostArray[hostArray.length - 3] + '.' + hostArray[hostArray.length - 2] + '.' + hostArray[hostArray.length - 1] } return '.' + hostArray[hostArray.length - 2] + '.' + hostArray[hostArray.length - 1]; } let setCookie = function (cname, cvalue, tInSecs, dl = {}) { const d = new Date(); d.setTime(d.getTime() + (tInSecs * 1000)); let expires = 'expires='+ d.toUTCString(); document.cookie = cname + '=' + cvalue + ';' + expires + ';path=/' + ';domain=' + getCookieDomain(dl); } let getParams = function () { var preparedUrlSearchParams = decodeURI(location.search.replace(/\?/g, "").replace(/&/g, "\",\"").replace(/=/g,"\":\"")); return JSON.parse(preparedUrlSearchParams ? '{"' + preparedUrlSearchParams + '"}' : '{}'); } let listCookies = function () { var theCookies = document.cookie.split(';'); var returnCookies = []; var cookieKeyValuePair = {}; var cookieString = ''; for (var i = 0; i <= theCookies.length; i++) { if (typeof theCookies[i] !== 'undefined') { cookieString = theCookies[i].trim(); cookieKeyValuePair = cookieString.match(/([^=]+?)[=\s](.*)/i); if (cookieKeyValuePair !== null && cookieKeyValuePair.length === 3) { returnCookies.push({ 'name': cookieKeyValuePair['1'], 'value': cookieKeyValuePair['2'] }); } } } return returnCookies; } let getSalesChannelController = function(salesChannelControllerIdentifier, url) { if (sessionStorage.getItem(salesChannelControllerIdentifier)) { return data = JSON.parse(sessionStorage.getItem(salesChannelControllerIdentifier)); } else { let salesChannelControllerApplicationArray = (typeof window.guidesDataLayer.application !== 'undefined') ? window.guidesDataLayer.application.split('.') : []; let salesChannelControllerOrigin = salesChannelControllerApplicationArray !== null && salesChannelControllerApplicationArray.length >= 3 ? salesChannelControllerApplicationArray[2] : 'DE'; let salesChannelControllerPath = salesChannelControllerApplicationArray !== null && salesChannelControllerApplicationArray.length >= 2 && salesChannelControllerApplicationArray[1] === 'SG' ? '/startupguide/' : '/digitalguide/'; let salesChannelControllerReferrer = document.referrer || ''; let salesChannelController = {}; salesChannelController.origin = salesChannelControllerOrigin === 'AT' ? 'DE' : salesChannelControllerOrigin; salesChannelController.path = salesChannelControllerPath; salesChannelController.cookies = {}; salesChannelController.requestParameter = {}; salesChannelController.referer = salesChannelControllerReferrer; salesChannelController.requestParameter = getParams(); salesChannelController.cookies = listCookies(); console.info('fetch SCC'); return fetch(url, { cache: 'no-store', method: 'POST', mode: 'cors', headers: { 'Accept': 'application/json', 'Content-Type': 'application/json' }, body: JSON.stringify(salesChannelController) }) .then((response) => { console.info('fetch SCC done'); return response.json(); }) .then((data) => { setSalesChannelController(salesChannelControllerIdentifier, data); return data; }) .catch((error) => { console.info('missing data from salesChannelController'); throw error; }); } } let setSalesChannelController = function(salesChannelControllerIdentifier, data) { sessionStorage.setItem(salesChannelControllerIdentifier, JSON.stringify(data)); } let processSalesChannelController = function(config) { let sCCId = config.salesChannelControllerIdentifier || salesChannelControllerIdentifier; try { if (sCCId && config.url) { setSalesChannelController(sCCId, getSalesChannelController(sCCId, config.url)); } } catch (e) { console.error(e, 'we have a problem with the sales channel controller ' + sCCId) } let salesChannelControllerDataString = sessionStorage.getItem(sCCId) || ''; if (salesChannelControllerDataString) { let salesChannelControllerData = JSON.parse(salesChannelControllerDataString); // @Todo: After successful testing, remove comment from following line // processActionsAndUpdateDl(salesChannelControllerData, guidesDataLayerName); } } function processActionsAndUpdateDl (data, dlName) { if (typeof data.actions !== 'undefined' && data.actions.length >= 1 && window[dlName] !== 'undefined') { for (var i = 0; i <= data.actions.length; i++) { if (typeof data.actions[i] !== 'undefined' && data.actions[i].hasOwnProperty('action') && data.actions[i].hasOwnProperty('actionAttributes')) { if (data.actions[i].action === 'ADD_COOKIE') { if (data.actions[i].actionAttributes['cookie.name'] && data.actions[i].actionAttributes['cookie.value'] && data.actions[i].actionAttributes['cookie.lifetime']) { setCookie( data.actions[i].actionAttributes['cookie.name'], data.actions[i].actionAttributes['cookie.value'], data.actions[i].actionAttributes['cookie.lifetime'], data ); } } if (data.actions[i].action === 'ADD_ACTIONCODE') { if (data.actions[i].actionAttributes['actioncode.code']) { window[dlName].eVar23 = window[dlName].eVar23 || data.actions[i].actionAttributes['actioncode.code']; window[dlName].eVar74 = window[dlName].eVar23; } } if (data.actions[i].action === 'ADD_MEDIUMCODE') { if (data.actions[i].actionAttributes['mediumcode.code']) { window[dlName].eVar22 = data.actions[i].actionAttributes['mediumcode.code'] || window[dlName].eVar22; window[dlName].eVar24 = 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window.guidesDataLayer.market.toLowerCase(); const jentisRuntimeConfig = jentisConfig.has(country) ? jentisConfig.get(country) : null; if (jentisRuntimeConfig === null) { throw new Error('Jentis runtime configuration not available!'); } (function (sCDN, sCDNProject, sCDNWorkspace, sCDNVers) { if ( window.localStorage !== null && typeof window.localStorage === "object" && typeof window.localStorage.getItem === "function" && window.sessionStorage !== null && typeof window.sessionStorage === "object" && typeof window.sessionStorage.getItem === "function" ) { sCDNVers = window.sessionStorage.getItem("jts_preview_version") || window.localStorage.getItem("jts_preview_version") || sCDNVers; } window.jentis = window.jentis || {}; window.jentis.config = window.jentis.config || {}; window.jentis.config.frontend = window.jentis.config.frontend || {}; window.jentis.config.frontend.cdnhost = sCDN + "/get/" + sCDNWorkspace + "/web/" + sCDNVers + "/"; window.jentis.config.frontend.vers = sCDNVers; window.jentis.config.frontend.env = sCDNWorkspace; window.jentis.config.frontend.project = sCDNProject; window._jts = window._jts || []; var f = document.getElementsByTagName("script")[0]; var j = document.createElement("script"); j.async = true; j.src = window.jentis.config.frontend.cdnhost + jentisRuntimeConfig.jsFile; f.parentNode.insertBefore(j, f); })(jentisRuntimeConfig.endpoint, jentisRuntimeConfig.project, "live", "_"); window?.ionos?.datalayer?.initConsent(); } const jentisPageView = function () { const dataLayerNs = window.ionos.datalayer.pageview; dataLayerNs.applicationName = window.guidesDataLayer.shopname; dataLayerNs.subShopname = null; dataLayerNs.page = window.guidesDataLayer.prop1; dataLayerNs.productArea = window.guidesDataLayer.eVar1; dataLayerNs.section = window.guidesDataLayer.eVar6; dataLayerNs.hashedIp = null; dataLayerNs.loginStatus = null; dataLayerNs.hashedCustomerId = null; window.dataLayerNs = dataLayerNs; sendData = () => { window?.ionos?.datalayer?.initConsent(); window?.ionos?.datalayer?.pageview?.sendData(); }; window.privacyConsent.invoke( sendData, window.PrivacyConsentEnum.STATISTICS, window.privacyConsent, true, ); window.privacyConsent.initialize(); window?.ionos?.datalayer?.initConsent(); } window.jentisFn = jentisFn; window.jentisPageView = jentisPageView; window.promisedConsentScriptsBefore.push({scriptOrFunction: 'jentisFn'}); window.promisedConsentScriptsAfter.push({scriptOrFunction: 'https://var.uicdn.net/shopsshort/ionos-datalayer/datalayer.min.js'}); window.promisedConsentScriptsAfter.push({scriptOrFunction: 'jentisPageView'}); let hubspot = function () { let hubspotFn = function () { var n = document.createElement("script"); n.setAttribute("id", 'hs-script-loader'); n.async = true; n.defer = true; n.setAttribute("src", 'https://js-eu1.hs-scripts.com/8230984.js'); window.document.head.appendChild(n); }; window.privacyConsent.invoke( hubspotFn, PrivacyConsentEnum.STATISTICS, window.privacyConsent, true ); window.privacyConsent.initialize(); } window.hubspot = hubspot; window.promisedConsentScriptsAfter.push({scriptOrFunction: 'hubspot'}); function consentRelatedScriptsInsertAfter(newNode, existingNode) { existingNode.parentNode.insertBefore(newNode, existingNode.nextSibling); } let consentRelatedScripts = function() { var consentRelatedScriptsFn = document.querySelectorAll('script[type="text/plain"][data-consent]'); console.info(consentRelatedScriptsFn); var consentedFunctions = []; consentRelatedScriptsFn.forEach(function (item) { var consentCategoryFromDataSet = item.dataset.consent || ''; if (consentCategoryFromDataSet !== '') { var consentCategory = consentCategoryFromDataSet.toUpperCase(); if (!(consentCategory in consentedFunctions)) { consentedFunctions[consentCategory] = []; } consentedFunctions[consentCategory].push(item); } }) var activateConsentRelatedScripts = []; for (var consentCategory in consentedFunctions) { activateConsentRelatedScripts[consentCategory] = function() { consentedFunctions[consentCategory].forEach(function(item) { var newScriptContent = item.text; const newScript = document.createElement("script"); newScript.text = newScriptContent; newScript.type = "text/javascript"; newScript.dataset.consentGiven = true; consentRelatedScriptsInsertAfter(newScript, item); }); }; window.privacyConsent.invoke( activateConsentRelatedScripts[consentCategory], PrivacyConsentEnum[consentCategory], window.privacyConsent, false ); window.privacyConsent.initialize(); } } window.consentRelatedScripts = consentRelatedScripts; window.consentRelatedScriptsInsertAfter = consentRelatedScriptsInsertAfter; window.promisedConsentScriptsAfter.push({scriptOrFunction: 'consentRelatedScripts'}); window.promisedConsentScriptsBefore = window.promisedConsentScriptsBefore || []; window.promisedConsentScriptsAfter = window.promisedConsentScriptsAfter || []; loadPromisedConsentScripts({ consentUrl: 'https://www.ionos.mx/modules/hosting-common/script/privacy/bundle.js', consentType: 'default', before: window.promisedConsentScriptsBefore, after: window.promisedConsentScriptsAfter }); </script> <script> "use strict"; if (typeof ready !== 'function') { var ready=function(e){"loading"!==document.readyState?e():document.addEventListener?document.addEventListener("DOMContentLoaded",e):document.attachEvent("onreadystatechange",function(){"complete"===document.readyState&&e()})}; } /** Polyfill for NodeList.forEach */ if ('NodeList' in window && !NodeList.prototype.forEach) {NodeList.prototype.forEach = function (callback, thisArg) {thisArg = thisArg || window;for (var i = 0; i < this.length; i++) callback.call(thisArg, this[i], i, this);};} /** Polyfill for HTMLCollection.forEach */ if ('HTMLCollection' in window && !HTMLCollection.prototype.forEach) {HTMLCollection.prototype.forEach = function (callback, thisArg) {thisArg = thisArg || window;for (var i = 0; i < this.length; i++) 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p-0"><a class="text-decoration-none link-internal" href="https://www.ionos.mx" title="IONOS" data-linkid="guides.navigation.breadcrumb.ionos" target="_top">IONOS</a></li> <li class="breadcrumb-item m-0 p-0"><svg width="16" height="16" class="mx-1 brand-breadcrumb-icon-color"><use xlink:href="https://www.ionos.mx/digitalguide/_assets/b76f27cb02ebc538ac6fbabcf1a88e7f/Images/icons-sprite.svg#icon-breadcrumb-divider"/></svg><a data-linkid="guides.navigation.breadcrumb.digital-guide" class="text-decoration-none link-internal" title="Digital Guide" href="https://www.ionos.mx/digitalguide/" target="_top">Digital Guide</a></li> <li class="breadcrumb-item m-0 p-0"><svg width="16" height="16" class="mx-1 brand-breadcrumb-icon-color"><use xlink:href="https://www.ionos.mx/digitalguide/_assets/b76f27cb02ebc538ac6fbabcf1a88e7f/Images/icons-sprite.svg#icon-breadcrumb-divider"/></svg><a data-linkid="guides.navigation.breadcrumb.online-marketing" class="text-decoration-none link-internal" title="Online 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learning</li> </ol> </nav> <div class="container-fluid container-sm py-2 pb-md-5 py-lg-5 contain-style position-relative overflow-hidden"> <div class="row contain-style gap-2"> <div class="col d-flex flex-column contain-style gap-2 justify-content-around order-lg-last"> <h1 class="m-0 order-lg-2">Deep learning vs. machine learning: ¿qué diferencia hay?</h1> <ul class="nav flex-row justify-content-between align-items-center my-0 gap-2 order-lg-last contain-style"><li class="my-0 d-flex flex-nowrap align-items-center position-relative"><span class="d-block fs-sm"><span class="d-block"><span class="d-block">Equipo editorial de IONOS</span></span><span class="d-flex fs-sm align-items-center gap-1"><svg width="16" height="16"><use xlink:href="https://www.ionos.mx/digitalguide/_assets/b76f27cb02ebc538ac6fbabcf1a88e7f/Images/icons-sprite.svg#icon-calendar-event"></use></svg><time datetime="2020-05-22">22.5.2020</time></span><span class="time-to-read d-flex fs-sm align-items-center gap-1"><svg 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style="display: none"> <figure class="image position-relative overflow-hidden align-center visual-img contain-style my-0 w-100 h-100"> <picture><source media="(min-width: 1680px)" srcset="https://www.ionos.mx/digitalguide/fileadmin/_processed_/c/0/csm_deep-learning-vs-machine-learning-t_cea65308ee.webp"/><source media="(min-width: 1400px)" srcset="https://www.ionos.mx/digitalguide/fileadmin/_processed_/c/0/csm_deep-learning-vs-machine-learning-t_ab1e794c2c.webp"/><source media="(min-width: 1200px)" srcset="https://www.ionos.mx/digitalguide/fileadmin/_processed_/c/0/csm_deep-learning-vs-machine-learning-t_931dbbda99.webp"/><source media="(min-width: 922px)" srcset="https://www.ionos.mx/digitalguide/fileadmin/_processed_/c/0/csm_deep-learning-vs-machine-learning-t_e06f3f69ab.webp"/><source media="(min-width: 768px)" srcset="https://www.ionos.mx/digitalguide/fileadmin/_processed_/c/0/csm_deep-learning-vs-machine-learning-t_f62fc1163d.webp"/><img src="data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMSAxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgogICAgPHJlY3QgeD0iMCIgeT0iMCIgd2lkdGg9IjEiIGhlaWdodD0iMSIgZmlsbD0idHJhbnNwYXJlbnQiIGZpbGwtcnVsZT0iZXZlbm9kZCIvPgo8L3N2Zz4K" width="1200" height="630" title="Deep learning vs. machine learning: ¿qué diferencia hay?" alt="Deep learning vs. machine learning: ¿qué diferencia hay?" loading="eager" decoding="sync" class="img-fluid d-block mx-auto img-format-landscape w-100 h-100 object-fit-cover rounded-4 border border-1 border-brand-gray-100"/></picture> </figure> </div> </div> </div> </div> <div class="container-fluid container-sm"> <div class="row py-2 py-lg-5 contain-style position-relative gap-4 flex-xl-nowrap"> <section class="content col-12 col-xl-6 col-xxxl-7 contain-style order-2 position-relative overflow-hidden mw-xl-content-area"> <div id="c218799" class="textmedia" data-ctype="textmedia"> <div class="text-row ce-textpic ce-center ce-above"> <div class="ce-bodytext"> <p>A muchas personas, la inteligencia artificial les provoca una cierta inquietud; no comprenden cómo es posible que los ordenadores aprendan por sí solos y tomen decisiones racionales. Sin embargo, entender los procesos básicos de esta tecnología no es tan complicado y está al alcance de todos.</p> <p>El aprendizaje automático (machine learning) y el aprendizaje profundo (deep learning) son dos de los conceptos más importantes de la inteligencia artificial. Aunque a menudo se confunden, en realidad estos términos se refieren a dos métodos totalmente diferentes, que también se aplican en ámbitos distintos.</p> </div> </div> </div> <div id="c569407" class="mx-auto guides_cta_images" data-ctype="guides_cta_images"> <div class="position-relative my-4 rounded-4 p-4 layout-0 overflow-hidden"><div class="row d-flex flex-wrap align-items-bottom"><div class="col-12" style="z-index: 1"><div class="d-block mt-0 mx-0 mb-3 h3 headline"><div class="d-block mx-0 mt-0 mb-1 h5 preline"> Herramientas de IA </div> Aprovecha al máximo la inteligencia artificial </div></div><div class="col-12 col-sm"><ul class="checklist highlight"><li> Crea tu página web en tiempo récord </li><li> Impulsa tu negocio gracias al marketing por IA </li><li> Ahorra tiempo y obtén mejores resultados </li></ul></div><div class="col-12 col-sm-4 d-flex align-items-center justify-content-start justify-content-sm-end"><button data-linkid="guides.content.guides-cta-images.btn.ki-loesungen-mx.comenzar" type="submit" class="btn btn-cta stretched-link mb-sm-1 mt-3 mt-sm-0" onclick="globalSBSitecat('event121');window.open('https://www.ionos.mx/soluciones-ia','_top')">Comenzar</button></div></div></div> </div> <div id="c218801" class="textmedia" data-ctype="textmedia"> <h2> Esquema conceptual </h2> <div class="text-row ce-textpic ce-center ce-below"> <div class="aligncenter ce-gallery" data-ce-columns="1" data-ce-images="1"> <div class="ce-outer"> <div class="ce-inner"> <div class="row ce-row"> <div class="col ce-column"> <figure class="rounded-4 w-auto mx-auto image position-relative overflow-hidden d-flex flex-column my-4 contain-style" style="max-width: 1920px"><a href="https://www.ionos.mx/digitalguide/fileadmin/DigitalGuide/Schaubilder/ES-machine-learning-vs-deep-learning.png" aria-label="🔎 Esquema circular que muestra el aprendizaje automático y el aprendizaje profundo como subcategorías de la inteligencia artificial" data-bs-toggle="modal" data-bs-target="#modal-51265" data-lightbox="51265" data-title="" class="img-holder d-block pe-none pe-lg-auto link-internal" target="_top"><img src="https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_e0b941e929.webp" width="1920" height="1080" srcset="https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_d679dce4f3.webp 750w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_1ebc95b050.webp 644w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_d8398136c0.webp 554w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_574628640c.webp 944w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_3a1867e8e0.webp 704w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_3bd7ce4a6d.webp 524w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_33a3521544.webp 396w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_60f7ad676d.webp 304w,https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_60f7ad676d.webp 304w" sizes="(min-width: 1680px) 750px,(min-width: 1400px) 644px,(min-width: 1200px) 554px,(min-width: 992px) 944px,(min-width: 768px) 704px,(min-width: 576px) 524px,(min-width: 412px) 396px,(min-width: 320px) 304px,(max-width:319px) 304px" title="Esquema circular que muestra el aprendizaje automático y el aprendizaje profundo como subcategorías de la inteligencia artificial" alt="Esquema circular que muestra el aprendizaje automático y el aprendizaje profundo como subcategorías de la inteligencia artificial" loading="lazy" decoding="async" class="img-fluid d-block mx-auto img-format-landscape w-100 rounded-4 border border-1 border-brand-gray-100" ></a><figcaption class="img-caption fs-sm text-start mx-2 d-block"> Machine learning vs. deep learning: ambos son subcategorías de la inteligencia artificial. El aprendizaje profundo puede entenderse como una forma de aprendizaje automático. </figcaption></figure><div class="modal fade lightbox" id="modal-51265" tabindex="-1" aria-label="" aria-hidden="true" style="display: none"><div class="modal-dialog modal-dialog-centered modal-xl" style="max-width: 1000px"><div class="modal-content overflow-hidden rounded-4"><div class="modal-body p-0 m-0"><figure class="rounded-4 w-auto mx-auto image position-relative overflow-hidden align-items-center d-flex flex-column contain-style"><img src="https://www.ionos.mx/digitalguide/fileadmin/_processed_/0/e/csm_ES-machine-learning-vs-deep-learning_e0b941e929.webp" width="1920" height="1080" title="Esquema circular que muestra el aprendizaje automático y el aprendizaje profundo como subcategorías de la inteligencia artificial" alt="Esquema circular que muestra el aprendizaje automático y el aprendizaje profundo como subcategorías de la inteligencia artificial" loading="lazy" decoding="async" class="img-fluid d-block mx-auto img-format-landscape w-100 rounded-4 border border-1 border-brand-gray-100"><figcaption class="img-caption fs-sm text-start mx-2 d-block"> Machine learning vs. deep learning: ambos son subcategorías de la inteligencia artificial. El aprendizaje profundo puede entenderse como una forma de aprendizaje automático. </figcaption></figure></div><button type="button" class="btn-close position-absolute top-0 end-0 me-2 mt-2" data-bs-dismiss="modal" aria-label="Close" style="filter:invert(1);background-color:rgba(0,0,0,.5)"></button></div></div></div> </div> </div> </div> </div> </div> </div> </div> <div id="c218802" class="textmedia" data-ctype="textmedia"> <div class="text-row ce-textpic ce-center ce-above"> <div class="ce-bodytext"> <p>Tanto el <a href="https://www.ionos.mx/digitalguide/online-marketing/analisis-web/machine-learning-asi-piensan-las-maquinas/" target="_top" title="Machine Learning: así piensan las máquinas" data-linkid="guides.content.link.int.aprendizaje-automatico" class="link-internal">aprendizaje automático</a>, como el <a href="https://www.ionos.mx/digitalguide/online-marketing/marketing-para-motores-de-busqueda/deep-learning/" target="_top" title="Deep learning" data-linkid="guides.content.link.int.aprendizaje-profundo" class="link-internal">aprendizaje profundo</a> son subcategorías de la <a href="https://www.ionos.mx/digitalguide/online-marketing/vender-en-internet/que-es-la-inteligencia-artificial/" target="_top" title="¿Qué es la inteligencia artificial?" data-linkid="guides.content.link.int.inteligencia-artificial" class="link-internal">inteligencia artificial</a>. Ambos enfoques permiten a los ordenadores tomar decisiones inteligentes. <strong>El aprendizaje profundo se considera una forma de aprendizaje automático</strong>, porque se basa en el aprendizaje no supervisado por el ser humano.</p> <p>En ambos casos, la inteligencia se limita a campos de aplicación muy concretos. Así, se habla de la inteligencia artificial débil frente a la inteligencia artificial fuerte, que, como los humanos, podría tomar decisiones racionales en numerosas situaciones y bajo muchas circunstancias.</p> <p>Ambas tecnologías dependen de la disponibilidad de grandes cantidades de datos que sirvan a los sistemas como base para el aprendizaje, pero ahí terminan las similitudes entre ambas.</p> </div> </div> </div> <div id="c218803" class="textmedia" data-ctype="textmedia"> <h2> Deep learning vs. machine learning: diferencias </h2> <div class="text-row ce-textpic ce-center ce-above"> <div class="ce-bodytext"> <p>El aprendizaje automático es la tecnología más antigua y sencilla de las dos. Trabaja con un algoritmo que el propio sistema adapta después de recibir feedback de una persona. En otras palabras, esta tecnología requiere alimentar el sistema con datos estructurados y categorizados, para que este pueda deducir cómo clasificar los nuevos datos de ese tipo. A continuación, dependiendo de la clasificación, el sistema lleva a cabo ciertas acciones programadas. Por ejemplo, identifica si aparece un perro o un gato en las fotos y mueve los archivos a diferentes carpetas.</p> <p>Después de la fase de aplicación inicial, el algoritmo se optimiza mediante el feedback humano, que informa al sistema de las posibles clasificaciones erróneas y de cómo asignar las categorías correctamente.</p> <p>Para el aprendizaje profundo, en cambio, no es necesario disponer de datos estructurados. Este sistema funciona con <a href="https://www.ionos.mx/digitalguide/online-marketing/marketing-para-motores-de-busqueda/que-es-una-neural-network/" target="_top" title="¿Qué es una neural network?" data-linkid="guides.content.link.int.redes-neuronales" class="link-internal">redes neuronales</a> multicapa, que imitan el comportamiento del cerebro humano y combinan diferentes algoritmos, lo que permite que el sistema procese incluso datos no estructurados.</p> <p>El enfoque del aprendizaje profundo es especialmente adecuado para las tareas complejas en las que no todos los aspectos de los objetos pueden clasificarse de antemano. El propio sistema se encarga de buscar los diferenciadores adecuados; en cada capa, se analizan las nuevas entradas en busca de otras características, que el sistema utiliza para decidir cómo clasificar las entradas.</p> <p>Es importante tener en cuenta que, <strong>en el aprendizaje profundo, el propio sistema encuentra los diferenciadores adecuados en los datos</strong> sin que se le deba proporcionar una clasificación externa. Por ello, no es necesario que intervenga un desarrollador. El sistema comprueba por sí mismo si se pueden generar nuevas clasificaciones o categorías a partir de las nuevas entradas.</p> <p>Si bien al aprendizaje automático le basta con una base de datos manejable para funcionar, <strong>el aprendizaje profundo requiere una cantidad de datos mucho más alta</strong>; el sistema debe disponer de más de 100 millones de puntos de datos para ofrecer resultados fiables.</p> <p>Además, la tecnología del aprendizaje profundo es más compleja de implementar. Requiere más recursos informáticos y es mucho más cara que el aprendizaje automático, por lo que actualmente no resulta relevante para la gran mayoría de las empresas.</p> </div> </div> </div> <div id="c218804" class="textmedia" data-ctype="textmedia"> <h3> Deep learning vs. machine learning: resumen de diferencias </h3> </div> <div id="c218805" class="table" data-ctype="table"> <div class="table-responsive"> <table class="table"> <thead> <tr> <th> </th> <th> Aprendizaje automático </th> <th> Aprendizaje profundo </th> </tr> </thead> <tbody> <tr> <td> Formato de datos </td> <td data-label="Aprendizaje automático "> Datos estructurados </td> <td data-label="Aprendizaje profundo"> Datos no estructurados </td> </tr> <tr> <td> Base de datos </td> <td data-label="Aprendizaje automático "> Base de datos manejable </td> <td data-label="Aprendizaje profundo"> Más de un millón de puntos de datos </td> </tr> <tr> <td> Entrenamiento </td> <td data-label="Aprendizaje automático "> Se necesita un entrenador humano </td> <td data-label="Aprendizaje profundo"> El sistema aprende por sí solo </td> </tr> <tr> <td> Algoritmo </td> <td data-label="Aprendizaje automático "> Algoritmo variable </td> <td data-label="Aprendizaje profundo"> Red neuronal de algoritmos </td> </tr> <tr> <td> Aplicación </td> <td data-label="Aprendizaje automático "> Tareas rutinarias sencillas </td> <td data-label="Aprendizaje profundo"> Tareas complejas </td> </tr> </tbody> </table> </div> </div> <div id="c218806" class="textmedia" data-ctype="textmedia"> <h2> Distintos ámbitos de aplicación </h2> <div class="text-row ce-textpic ce-center ce-above"> <div class="ce-bodytext"> <p>El aprendizaje automático podría considerarse como la tecnología predecesora del aprendizaje profundo. De hecho, todas las tareas que pueden realizarse mediante el aprendizaje automático también pueden llevarse a cabo mediante el aprendizaje profundo. Por lo tanto, al comparar deep learning vs. machine learning, en principio sale ganando el primero.</p> <p>Sin embargo, como <strong>el aprendizaje profundo requiere invertir muchos más recursos</strong>, no suele ser eficiente, por lo que se han delimitado claramente los ámbitos de aplicación de ambos. Todas las tareas que pueden realizarse mediante el aprendizaje automático se resuelven con esta tecnología.</p> <p>En cualquier caso, los dos brindan una inmensa ventaja competitiva a las empresas, ya que tanto el aprendizaje automático como el profundo están muy lejos de ser habituales en el entorno laboral actual.</p> </div> </div> </div> <div id="c218807" class="textmedia" data-ctype="textmedia"> <h3> Ámbitos de aplicación del aprendizaje automático </h3> <div class="text-row ce-textpic ce-center ce-above"> <div class="ce-bodytext"> <p><strong>Marketing online:</strong> ¿qué campañas de marketing dan buenos resultados? Por lo general, a las personas nos cuesta supervisar grandes cantidades de datos y evaluarlos de manera fiable. Aquí es donde entran las herramientas de análisis de marketing basadas en el aprendizaje automático, que evalúan los datos y proporcionan pronósticos fiables sobre muchos aspectos, como el tipo de contenido que genera conversiones, los textos que prefieren leer los clientes o los canales de marketing que logran más ventas.</p> <p><strong>Atención al cliente: </strong>los <a href="https://www.ionos.mx/digitalguide/online-marketing/vender-en-internet/chatbots-toda-una-revolucion-en-el-marketing-online/" target="_top" title="Chatbots: toda una revolución en el marketing online" data-linkid="guides.content.link.int.chatbots" class="link-internal">chatbots</a> pueden basarse en el aprendizaje automático, sirviéndose de las palabras clave que figuran en las preguntas del usuario y guiándolo hacia la información solicitada mediante consultas de respuesta o preguntas de sí/no.</p> <p><strong>Ventas:</strong> si le funciona a Netflix y Amazon, puede utilizarse para aumentar las ventas. Gracias al aprendizaje automático, los sistemas pueden predecir qué productos y servicios son potencialmente interesantes para los clientes existentes. Además, pueden hacerles recomendaciones muy precisas, lo que simplifica las ventas, especialmente en el caso de las gamas extensas de productos y los artículos muy personalizables.</p> <p><strong>Inteligencia empresarial:</strong> el aprendizaje automático también permite visualizar datos importantes de las empresas y mostrar los pronósticos en un formato comprensible para las personas responsables de tomar decisiones.</p> </div> </div> </div> <div id="c218808" class="textmedia" data-ctype="textmedia"> <h3> Ámbitos de aplicación del aprendizaje profundo </h3> <div class="text-row ce-textpic ce-center ce-above"> <div class="ce-bodytext"> <p><strong>Seguridad de sistemas informáticos:</strong> a diferencia del aprendizaje automático, los <a href="https://www.ionos.mx/digitalguide/servidores/seguridad/que-es-la-ciberseguridad-y-que-papel-desempena/" target="_top" title="¿Qué es la ciberseguridad y qué papel desempeña?" data-linkid="guides.content.link.int.sistemas-de-ciberseguridad" class="link-internal">sistemas de ciberseguridad</a> y seguridad informática basados en el aprendizaje profundo no solo reconocen los peligros predefinidos, sino también las amenazas nuevas y desconocidas porque son consideradas anomalías por el sistema de reconocimiento de patrones de la red neuronal. La eficacia de las medidas de seguridad se multiplica considerablemente con el aprendizaje profundo.</p> <p><strong>Atención al cliente:</strong> los chatbots basados en el aprendizaje profundo comprenden el lenguaje natural humano y no dependen del uso de ciertas palabras clave. Por ello, el diálogo es mucho más eficaz y la solución que ofrecen, más precisa.</p> <p><strong>Creación de contenidos:</strong> el aprendizaje profundo permite automatizar la creación de contenidos. Si hay suficiente contenido disponible como base de datos, el sistema puede crear contenido nuevo a partir de él y realizar traducciones de forma independiente.</p> <p><strong>Asistentes de voz:</strong> los asistentes digitales como Siri, Alexa y Google se basan en el aprendizaje profundo. Estos también resultan muy útiles en el contexto empresarial. Por ejemplo, el usuario puede pedirles en lenguaje natural que realicen pedidos, envíen correos electrónicos, elaboren informes o busquen información.</p> <p>Además de los campos mencionados, ambas tecnologías también se utilizan en <strong>muchos otros ámbitos de la vida</strong>, como la medicina, la ciencia o la movilidad.</p> </div> </div> </div> <div id="c628216" class="mx-auto guides_cta_images" data-ctype="guides_cta_images"> <div class="position-relative my-4 rounded-4 p-4 layout-0 overflow-hidden"><div class="row d-flex flex-wrap align-items-bottom"><div class="col-12" style="z-index: 1"><div class="d-block mt-0 mx-0 mb-3 h3 headline"><div class="d-block mx-0 mt-0 mb-1 h5 preline"> AI Model Hub </div> Tu plataforma de IA multimodal segura </div></div><div class="col-12 col-sm"><ul class="checklist highlight"><li> Una plataforma diseñada para los modelos de IA más potentes </li><li> Precios justos y transparentes basados en tokens </li><li> Código abierto, sin vendor lock-in </li></ul></div><div class="col-12 col-sm-4 d-flex align-items-center justify-content-start justify-content-sm-end"><button data-linkid="guides.content.guides-cta-images.btn.ai-model-hub-mx.probar-ahora" type="submit" class="btn btn-cta stretched-link mb-sm-1 mt-3 mt-sm-0" onclick="globalSBSitecat('event121');window.open('https://cloud.ionos.mx/managed/ai-model-hub','_top')">Probar ahora</button></div></div></div> </div> <section class="d-block order-lg-3 fs-sm border-1 border-top pt-3 mt-4"></section> <span class="d-block h4 text-center mb-4">¿Le ha resultado útil este artículo?</span> <div id="ratingContainer2456" class="mb-4"> <div class="d-flex justify-content-center align-items-bottom gap-2 recordrating-container"><button id="upvote" class="btn btn-default btn-lg position-relative lh-1 m-0 p-2" data-linkid="guides.rating.5" 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La IA ya está presente en muchas áreas…</p><div class="mt-2 minh-5 d-flex flex-nowrap overflow-hidden"><ul class="nav d-flex flex-nowrap card-tags-fade-end w-100 gap-2"><li><span class="btn btn-sm btn-default">Glosario</span></li><li><span class="btn btn-sm btn-default">Inteligencia artificial</span></li></ul></div><div class="read-more px-0 pb-0 pt-1 m-0 position-relative end-0 text-end lh-1 d-flex align-items-center justify-content-end"><span class="d-inline-block me-1">Leer más</span><svg width="16" height="16" class="icon-arrow-right"><use xlink:href="https://www.ionos.mx/digitalguide/_assets/b76f27cb02ebc538ac6fbabcf1a88e7f/Images/icons-sprite.svg#icon-arrow-right"></use></svg></div></div></article> </div> </aside> </div> </article> <footer class="d-flex flex-wrap justify-content-center align-items-center brand-footer-bg brand-footer-color mt-2 mt-lg-5 py-6 py-lg-12 contain-style" data-bs-theme="dark"><div class="container-fluid container-sm"><div class="row pb-4 pb-lg-8"><div 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