{"id":29975,"date":"2026-02-24T08:28:44","date_gmt":"2026-02-24T07:28:44","guid":{"rendered":"https:\/\/www.educapharos.com\/moocs\/aprendizaje-supervisado-en-ml\/"},"modified":"2026-02-24T08:28:44","modified_gmt":"2026-02-24T07:28:44","slug":"supervised-learning-in-machine-learning","status":"publish","type":"mooc_course","link":"https:\/\/educapharos.com\/en\/aprendizaje-supervisado-en-ml\/","title":{"rendered":"Supervised Learning in Machine Learning"},"content":{"rendered":"<p>The Course <strong>Supervised Learning in Machine Learning<\/strong> It's yours <strong>a gateway to the world of artificial intelligence and machine learning<\/strong>. In an era where <strong>Data is the new oil<\/strong>, the <strong>ability to extract value from them<\/strong> is in high demand. This course will provide you with a <strong>a solid understanding of the fundamentals of supervised learning<\/strong>, teaching you how to <strong>distinguish between classification and regression<\/strong>, and to <strong>evaluate models using key metrics<\/strong>. You'll learn how to <strong>prepare data effectively<\/strong>, dominating <strong>cleaning techniques and dimensionality reduction<\/strong>, ensuring that you can <strong>turn raw data into valuable information<\/strong>. In addition, you'll explore starting from <strong>basic models<\/strong> such as the <strong>linear regression<\/strong> and the <strong>decision trees<\/strong>, up to <strong>advanced models<\/strong> such as <strong>SVM<\/strong> y <strong>assembly methods<\/strong>, developing <strong>crucial skills<\/strong> to address <strong>complex problems<\/strong>. With a <strong>online approach<\/strong>, this course offers you <strong>flexibility to learn at your own pace<\/strong>, getting ready for a <strong>a labor market that is constantly growing and evolving<\/strong>.<\/p>","protected":false},"excerpt":{"rendered":"<p>The \"Supervised Learning in ML\" course is designed for professionals and graduates in the technology and science sectors who wish to gain a deeper understanding of supervised learning. It is ideal for those seeking to understand everything from the fundamentals to advanced techniques such as SVM, bagging, and boosting, thereby improving their ability to prepare data and build and evaluate machine learning models.<\/p>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"","ast-disable-related-posts":"","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":""}},"educalms_repo_code":"AFO0296R8","educalms_repo_id":"4885525","educalms_lang":"es","educalms_duration":"15","educalms_duration_type":"693","educalms_image":"https:\/\/dam.educaedtech.com\/sharings\/a01k71tg6cxeee8jfyte0d7kgv6.jpg","educalms_tags":"Aprendizaje supervisado, clasificaci\u00f3n y regresi\u00f3n, pipeline de ML, evaluaci\u00f3n de modelos, validaci\u00f3n cruzada, limpieza de datos, codificaci\u00f3n de variables, escalado de caracter\u00edsticas, selecci\u00f3n de caracter\u00edsticas, reducci\u00f3n de dimensionalidad, regresi\u00f3n lineal, \u00e1rboles de decisi\u00f3n, vecinos m\u00e1s cercanos (KNN), m\u00e1quinas de vectores de soporte (SVM), ensamblado de modelos.","educalms_tittle":"Aprendizaje Supervisado en ML","educalms_type_of_training":"3601","educalms_description":"<p>El curso <strong>Aprendizaje Supervisado en ML<\/strong> es tu <strong>puerta de entrada al mundo de la inteligencia artificial y el aprendizaje autom\u00e1tico<\/strong>. En una era donde <strong>los datos son el nuevo petr\u00f3leo<\/strong>, la <strong>capacidad de extraer valor de ellos<\/strong> es altamente demandada. Este curso te brindar\u00e1 una <strong>comprensi\u00f3n s\u00f3lida de los fundamentos del aprendizaje supervisado<\/strong>, ense\u00f1\u00e1ndote a <strong>diferenciar entre clasificaci\u00f3n y regresi\u00f3n<\/strong>, y a <strong>evaluar modelos mediante m\u00e9tricas clave<\/strong>. Aprender\u00e1s a <strong>preparar datos eficazmente<\/strong>, dominando <strong>t\u00e9cnicas de limpieza y reducci\u00f3n de dimensionalidad<\/strong>, asegurando que puedas <strong>transformar datos brutos en informaci\u00f3n valiosa<\/strong>. Adem\u00e1s, explorar\u00e1s desde <strong>modelos b\u00e1sicos<\/strong> como la <strong>regresi\u00f3n lineal<\/strong> y los <strong>\u00e1rboles de decisi\u00f3n<\/strong>, hasta <strong>modelos avanzados<\/strong> como <strong>SVM<\/strong> y <strong>m\u00e9todos de ensamblado<\/strong>, desarrollando <strong>habilidades cruciales<\/strong> para abordar <strong>problemas complejos<\/strong>. Con un <strong>enfoque online<\/strong>, este curso te ofrece <strong>flexibilidad para aprender a tu ritmo<\/strong>, prepar\u00e1ndote para un <strong>mercado laboral en constante crecimiento y evoluci\u00f3n<\/strong>.<\/p>","educalms_objectives":"<ul><li><p><strong>Comprender<\/strong> la <strong>definici\u00f3n y aplicaci\u00f3n del aprendizaje supervisado<\/strong> en <strong>problemas reales<\/strong>.<\/p><\/li><li><p><strong>Diferenciar<\/strong> entre <strong>aprendizaje supervisado, no supervisado y por refuerzo<\/strong>.<\/p><\/li><li><p><strong>Identificar y clasificar problemas<\/strong> en <strong>clasificaci\u00f3n y regresi\u00f3n<\/strong>.<\/p><\/li><li><p><strong>Aplicar un pipeline de ML supervisado<\/strong>, desde la <strong>preparaci\u00f3n hasta la evaluaci\u00f3n<\/strong>.<\/p><\/li><li><p><strong>Evaluar modelos<\/strong> mediante <strong>m\u00e9tricas clave<\/strong> y <strong>validaci\u00f3n cruzada<\/strong>.<\/p><\/li><li><p><strong>Realizar limpieza de datos<\/strong> y manejo de <strong>valores faltantes<\/strong> y <strong>outliers<\/strong>.<\/p><\/li><li><p><strong>Aplicar t\u00e9cnicas de escalado, normalizaci\u00f3n y reducci\u00f3n de dimensionalidad<\/strong>.<\/p><\/li><\/ul>","educalms_what_prepares_you_for":"<p>El curso <strong>Aprendizaje Supervisado en ML<\/strong> te prepara para <strong>enfrentar desaf\u00edos en el an\u00e1lisis de datos y la inteligencia artificial<\/strong>.<br>Al finalizar, ser\u00e1s capaz de <strong>implementar modelos de clasificaci\u00f3n y regresi\u00f3n<\/strong>, <strong>optimizar su rendimiento<\/strong> mediante t\u00e9cnicas avanzadas como <strong>SVM, Random Forest y Boosting<\/strong>.<br>Adem\u00e1s, adquirir\u00e1s <strong>habilidades en la preparaci\u00f3n y limpieza de datos<\/strong>, desde el <strong>manejo de valores faltantes<\/strong> hasta la <strong>reducci\u00f3n de dimensionalidad<\/strong>, asegurando la <strong>calidad y eficacia de tus proyectos de machine learning<\/strong>.<\/p>","educalms_audience":"<p>El curso <strong>Aprendizaje Supervisado en ML<\/strong> est\u00e1 dirigido a <strong>profesionales y titulados del sector tecnol\u00f3gico y cient\u00edfico<\/strong> que deseen <strong>profundizar en el aprendizaje supervisado<\/strong>. Es ideal para quienes buscan <strong>entender desde los fundamentos hasta t\u00e9cnicas avanzadas<\/strong> como <strong>SVM, bagging y boosting<\/strong>, mejorando su <strong>capacidad para preparar datos, construir y evaluar modelos de machine learning<\/strong>.<\/p>","educalms_academies":"3869","educalms_area_group":"Transversal","educalms_area_id":"52","educalms_area_name":"Academia IA","educalms_academy_ids":"3869"},"mooc_category":[324,344,249],"class_list":["post-29975","mooc_course","type-mooc_course","status-publish","mooc_category-area-52","mooc_category-academy-3869","mooc_category-group-transversal"],"acf":[],"_links":{"self":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/mooc_course\/29975","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/mooc_course"}],"about":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/types\/mooc_course"}],"wp:attachment":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/media?parent=29975"}],"wp:term":[{"taxonomy":"mooc_category","embeddable":true,"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/mooc_category?post=29975"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}