{"id":6489,"date":"2019-11-21T07:21:52","date_gmt":"2019-11-21T07:21:52","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=6489"},"modified":"2019-11-21T11:24:05","modified_gmt":"2019-11-21T11:24:05","slug":"5-examples-of-machine-learning-you-should-know-about","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/","title":{"rendered":"5 Exemplos de aprendizagem de m\u00e1quinas que voc\u00ea deve saber sobre"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Tabela de Conte\u00fados<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-6a2cf4e409cd6\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-6a2cf4e409cd6\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/#1_Music_Spotify_and_Soundcloud\" title=\"1. M\u00fasica: Spotify e Soundcloud\u00a0\">1. M\u00fasica: Spotify e Soundcloud\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/#2_PathAi_Quick_Diagnosis_with_Tensorflow\" title=\"2. PathAi: Diagn\u00f3stico r\u00e1pido com Tensorflow\u00a0\">2. PathAi: Diagn\u00f3stico r\u00e1pido com Tensorflow\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/#3_Concerto_Medical_Data_Science_Via_ML\" title=\"3. Concerto: Ci\u00eancia de Dados M\u00e9dicos Via ML\u00a0\">3. Concerto: Ci\u00eancia de Dados M\u00e9dicos Via ML\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/#4_Web_Personalization_What_You_Like_When_You_Want_It\" title=\"4. Personaliza\u00e7\u00e3o da Web: O que voc\u00ea gosta, quando voc\u00ea quer\u00a0\">4. Personaliza\u00e7\u00e3o da Web: O que voc\u00ea gosta, quando voc\u00ea quer\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/#5_Education_As_a_Whole\" title=\"5. A educa\u00e7\u00e3o como um todo\u00a0\">5. A educa\u00e7\u00e3o como um todo\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/#Conclusion\" title=\"Conclus\u00e3o\">Conclus\u00e3o<\/a><\/li><\/ul><\/nav><\/div>\n<p><em><span style=\"font-weight: 400;\">Paul Matthews, freelance tech writer, writes about examples of machine learning across the the <a href=\"https:\/\/www.kolabtree.com\/blog\/pt\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">sa\u00fade<\/a>, entertainment, marketing and education industries.\u00a0<\/span><\/em><\/p>\n<p>Desde o desenvolvimento frontal at\u00e9 o setor automotivo, as aplica\u00e7\u00f5es de <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=ML-Surprising-Applications\">aprendizagem da m\u00e1quina<\/a>g para fins comerciais \u00e9 maior do que nunca. Exemplos de aprendizagem de m\u00e1quinas no mundo real incluem motores de recomenda\u00e7\u00e3o, detec\u00e7\u00e3o de objetos, processamento de linguagem natural, e muito mais. Vamos analisar cinco exemplos interessantes de como o ML est\u00e1 sendo usado para proporcionar melhores experi\u00eancias on-line e avan\u00e7ar na sa\u00fade e educa\u00e7\u00e3o.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"1_Music_Spotify_and_Soundcloud\"><\/span><b>1. M\u00fasica: Spotify e Soundcloud\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">\u00a0Empresas como Universal, Sony e EMI passaram por uma digitaliza\u00e7\u00e3o massiva nos \u00faltimos 10 anos, evoluindo da \"venda de um certo n\u00famero de registros\" para a \"transmiss\u00e3o desse registro por 'n' n\u00famero de vezes\". A monetiza\u00e7\u00e3o via an\u00fancios atrav\u00e9s de pe\u00e7as em portais como Youtube, Spotify e Soundcloud \u00e9 algo procurado. Como estas plataformas podem direcionar constantemente o tr\u00e1fego e os ouvidos para seus lan\u00e7amentos em um mercado musical t\u00e3o barulhento? Atraindo automaticamente mais e mais usu\u00e1rios, com ferramentas de Machine Learning. Quantas vezes voc\u00ea j\u00e1 viu (ou melhor, ouviu) uma faixa aleat\u00f3ria em sua mistura di\u00e1ria aconselhada como \"algo baseado em seus gostos\"? A resposta a este mesmo assunto \u00e9 uma aplica\u00e7\u00e3o relativamente simples que combina<\/span><\/p>\n<p>1. a estrutura real da can\u00e7\u00e3o, e<br \/>\n<span style=\"font-weight: 400;\">2. O fato de os usu\u00e1rios terem tocado sua m\u00fasica de sua escolha antes ou depois da recomendada.<\/span><\/p>\n<p>Tanto Spotify quanto Soundcloud usam o algoritmo ML para entender e analisar as escolhas do usu\u00e1rio e tomar uma decis\u00e3o com base nas informa\u00e7\u00f5es coletadas.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-6494\" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-1024x683.jpg\" alt=\"\" width=\"462\" height=\"308\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-1024x683.jpg 1024w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-300x200.jpg 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-768x512.jpg 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-1080x720.jpg 1080w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone.jpg 1350w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-300x200@2x.jpg 600w\" sizes=\"(max-width: 462px) 100vw, 462px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_PathAi_Quick_Diagnosis_with_Tensorflow\"><\/span><b>2. PathAi: Diagn\u00f3stico r\u00e1pido com Tensorflow\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">O PathAi \u00e9 principalmente uma aplica\u00e7\u00e3o baseada no fluxo de sensores que ajuda a acelerar o diagn\u00f3stico, associando sintomas e outras vari\u00e1veis ambientais (demogr\u00e1ficas, de localiza\u00e7\u00e3o e outras). O maior ponto de venda do PathAI \u00e9 o fato de que n\u00e3o s\u00f3 poderia ser lan\u00e7ado em uma arquitetura completamente baseada em nuvens, mas tamb\u00e9m \u00e9 extremamente fino, comparado a outros softwares volumosos no setor de sa\u00fade, que \u00e0s vezes exigem hardware ad-hoc. O PathAi est\u00e1 definitivamente pronto para se tornar extremamente grande no futuro pr\u00f3ximo, dada sua recente onda de investimentos, que totalizou mais de $11 milh\u00f5es.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00c9 bastante dif\u00edcil listar qualquer inicializa\u00e7\u00e3o m\u00e9dica ML ou relacionada \u00e0 tecnologia como um futuro \"padr\u00e3o industrial\", mas, por enquanto, podemos dizer com seguran\u00e7a que o PathAi est\u00e1 estabelecendo a base no que diz respeito ao futuro da sa\u00fade e da tecnologia.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"3_Concerto_Medical_Data_Science_Via_ML\"><\/span><b>3. Concerto: Ci\u00eancia de Dados M\u00e9dicos Via ML\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Com a Concerto, ainda estamos analisando o setor de sa\u00fade e suas aplica\u00e7\u00f5es baseadas no aprendizado de m\u00e1quinas. Quando a Concerto foi desenvolvida, seus criadores tinham uma id\u00e9ia clara: construir algo que poderia ter ajudado oncologistas, cirurgi\u00f5es e m\u00e9dicos em geral a entender os sintomas, processando automaticamente bases de dados volumosas, \u00e0s vezes confusas dentro de uma fra\u00e7\u00e3o de segundo. Concerto \u00e9, de fato, a primeira ferramenta relacionada \u00e0 ci\u00eancia dos dados para fins m\u00e9dicos. Constru\u00eddo em Nova York por uma equipe de ex-cientistas de dados, Concerto tem sido um aroma refrescante da tecnologia em um mundo m\u00e9dico que, em termos de processamento de dados, ainda depende do papel e da comunica\u00e7\u00e3o lenta entre profissionais, tornando, \u00e0s vezes, o desenvolvimento de qualquer forma de procedimento lento e estressante. Concerto \u00e9 um exemplo forte e tang\u00edvel de como a ci\u00eancia de dados se aplica a infra-estruturas e arquiteturas para processos de constru\u00e7\u00e3o e n\u00e3o para meros objetivos de marketing e redirecionamento de an\u00fancios. O Concerto est\u00e1 previsto para se tornar o banco de dados mais utilizado em 2025, pelo menos nos estados.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_Web_Personalization_What_You_Like_When_You_Want_It\"><\/span><b>4. Personaliza\u00e7\u00e3o da Web: O que voc\u00ea gosta, quando voc\u00ea quer\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Ah, aprendizagem de m\u00e1quinas e marketing. Se esta n\u00e3o \u00e9 a maior combina\u00e7\u00e3o da d\u00e9cada, ent\u00e3o n\u00e3o h\u00e1 outra. Com a personaliza\u00e7\u00e3o da web, nos referimos ao uso de v\u00e1rias linguagens de programa\u00e7\u00e3o (principalmente Python e Javascript) para otimizar um cat\u00e1logo, uma listagem de produtos ou uma pe\u00e7a de conte\u00fado em uma p\u00e1gina\/aplica\u00e7\u00e3o web. O processo de personaliza\u00e7\u00e3o \u00e9 dividido em 3 se\u00e7\u00f5es principais, aquisi\u00e7\u00e3o, processamento e constru\u00e7\u00e3o.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">-O <strong>aquisi\u00e7\u00e3o<\/strong> parte refere-se \u00e0 coleta de dados que \u00e9 feita quando um usu\u00e1rio aterrissa em uma p\u00e1gina (principalmente via cookies, portanto), responde a uma pesquisa via e-mail, ou digita qualquer coisa na caixa de pesquisa da p\u00e1gina. Esta parte deve ser esclarecida ao usu\u00e1rio, seguindo a \u00faltima decis\u00e3o da GDPR.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">-O <strong>processamento<\/strong> parte est\u00e1 relacionada ao uso de bibliotecas Python que est\u00e3o, de fato, processando o comportamento dos usu\u00e1rios, criando pontos de dados em um ambiente de lago de dados interno, que efetivamente se tornam diretrizes para ferramentas Javascript que est\u00e3o tornando esses dados em conte\u00fado personalizado.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">-O <strong>construir<\/strong> \u00e9 o processo que acontece quando a ferramenta Javascript acima mencionada otimiza a p\u00e1gina. Se, por exemplo, as diretrizes dentro desses pontos de dados est\u00e3o dizendo que o usu\u00e1rio x, que gosta de sapatos vermelhos, est\u00e1 atualmente navegando na se\u00e7\u00e3o de cal\u00e7ados, a aplica\u00e7\u00e3o baseada em JS mover\u00e1 tais resultados para cima, aumentando, portanto, a taxa de convers\u00e3o do site. Muito simples, mas muito eficaz.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A personaliza\u00e7\u00e3o est\u00e1 sendo utilizada por v\u00e1rias marcas, incluindo Zara, Primark, Boohoo e ASOS.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"5_Education_As_a_Whole\"><\/span><b>5. A educa\u00e7\u00e3o como um todo\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">H\u00e1 dezenas de empresas iniciantes relacionadas \u00e0 educa\u00e7\u00e3o que est\u00e3o construindo ferramentas baseadas na aprendizagem de m\u00e1quinas para melhorar este setor educacional. Qual \u00e9 o objetivo deles?\u00a0<\/span><span style=\"font-weight: 400;\">Aqui est\u00e3o alguns exemplos de usos da aprendizagem de m\u00e1quinas na educa\u00e7\u00e3o:\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">- Solu\u00e7\u00e3o de problemas e obten\u00e7\u00e3o de dados precisos facilmente. Imagine ter um professor que possa acessar problemas complicados em quest\u00e3o de segundos, para ent\u00e3o explic\u00e1-los da forma mais simples depois que o software os tiver encolhido, dependendo do n\u00edvel do p\u00fablico.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">- Cria\u00e7\u00e3o autom\u00e1tica de tarefas e exames baseados no tema, seu n\u00edvel de dificuldade e muito mais. Bastante salva-vidas para um professor, certo? Um algoritmo ML para isso poderia ser treinado para colocar um exame com o n\u00edvel de dificuldade necess\u00e1rio e tamb\u00e9m poderia ter as solu\u00e7\u00f5es calculadas automaticamente.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">- Analisar e prever o progresso da classe, analisando a taxa de sucesso dos exames e ensaios, ajudar\u00e1 os professores a se avaliarem tamb\u00e9m<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclus\u00e3o<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Os exemplos de aprendizagem de m\u00e1quinas no mundo de hoje s\u00e3o infinitos. \u00c9 f\u00e1cil entender porque o futuro da ML \u00e9 t\u00e3o brilhante, tanto do ponto de vista comercial quanto do usu\u00e1rio. O futuro \u00e9, de fato, automatizado.<\/span><\/p>\n<p><strong>Necessidade de consultar um <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=ML-Surprising-Applications\">experi\u00eancia em aprendizagem de m\u00e1quinas<\/a><a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning\">t<\/a>? Contratar cientistas freelance em Kolabtree.  \u00c9 gr\u00e1tis para postar seu projeto e come\u00e7ar a trabalhar.\u00a0<\/strong><\/p>\n<p><em>Paul Matthews \u00e9 um escritor de neg\u00f3cios e tecnologia baseado em Manchester que escreve a fim de<\/em><br \/>\n<em>informar melhor os empres\u00e1rios sobre como administrar um neg\u00f3cio de sucesso. Ele est\u00e1 atualmente<\/em><br \/>\n<em>consultando a maior equipe de <a href=\"https:\/\/www.apadmi.com\/\">desenvolvedores de aplicativos<\/a> em Manchester.<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Paul Matthews, freelance tech writer, writes about examples of machine learning across the the healthcare, entertainment, marketing and education industries.\u00a0 From front end development to the automotive sector, the applications of machine learning for business purposes is bigger than ever. Examples of machine learning in the real world include recommendation engines, object detection, natural language<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/pt\/5-examples-of-machine-learning-you-should-know-about\/\" title=\"Leia mais\">Leia mais<\/a><\/div>","protected":false},"author":12,"featured_media":6495,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[434,398,433],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>5 Examples of Machine Learning You Should Know About<\/title>\n<meta name=\"description\" content=\"The examples of machine learning uses in the real world range from personalized recommendations to advancing medical care. Here are 5 handpicked uses.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/zh\/5-examples-of-machine-learning-you-should-know-about\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"5 Examples of Machine Learning You Should Know About\" \/>\n<meta property=\"og:description\" content=\"The examples of machine learning uses in the real world range from personalized recommendations to advancing medical care. Here are 5 handpicked uses.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/pt\/zh\/5-examples-of-machine-learning-you-should-know-about\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2019-11-21T07:21:52+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-11-21T11:24:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-examples.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"890\" \/>\n\t<meta property=\"og:image:height\" content=\"500\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ramya Sriram\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ramya Sriram\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutos\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"5 Examples of Machine Learning You Should Know About","description":"The examples of machine learning uses in the real world range from personalized recommendations to advancing medical care. Here are 5 handpicked uses.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.kolabtree.com\/blog\/pt\/zh\/5-examples-of-machine-learning-you-should-know-about\/","og_locale":"pt_BR","og_type":"article","og_title":"5 Examples of Machine Learning You Should Know About","og_description":"The examples of machine learning uses in the real world range from personalized recommendations to advancing medical care. Here are 5 handpicked uses.","og_url":"https:\/\/www.kolabtree.com\/blog\/pt\/zh\/5-examples-of-machine-learning-you-should-know-about\/","og_site_name":"The Kolabtree Blog","article_publisher":"https:\/\/www.facebook.com\/kolabtree","article_published_time":"2019-11-21T07:21:52+00:00","article_modified_time":"2019-11-21T11:24:05+00:00","og_image":[{"width":890,"height":500,"url":"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-examples.jpg","type":"image\/jpeg"}],"author":"Ramya Sriram","twitter_card":"summary_large_image","twitter_creator":"@kolabtree","twitter_site":"@kolabtree","twitter_misc":{"Escrito por":"Ramya Sriram","Est. tempo de leitura":"5 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/#article","isPartOf":{"@id":"https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/"},"author":{"name":"Ramya Sriram","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/81992f5863a1b06d132a47822e7b4400"},"headline":"5 Examples of Machine Learning You Should Know About","datePublished":"2019-11-21T07:21:52+00:00","dateModified":"2019-11-21T11:24:05+00:00","mainEntityOfPage":{"@id":"https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/"},"wordCount":1025,"commentCount":0,"publisher":{"@id":"https:\/\/www.kolabtree.com\/blog\/#organization"},"articleSection":["Artificial Intelligence","Data Science","Tech"],"inLanguage":"pt-BR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/","url":"https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/","name":"5 Examples of Machine Learning You Should Know About","isPartOf":{"@id":"https:\/\/www.kolabtree.com\/blog\/#website"},"datePublished":"2019-11-21T07:21:52+00:00","dateModified":"2019-11-21T11:24:05+00:00","description":"The examples of machine learning uses in the real world range from personalized recommendations to advancing medical care. Here are 5 handpicked uses.","breadcrumb":{"@id":"https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.kolabtree.com\/blog\/zh\/5-examples-of-machine-learning-you-should-know-about\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.kolabtree.com\/blog\/"},{"@type":"ListItem","position":2,"name":"5 Examples of Machine Learning You Should Know About"}]},{"@type":"WebSite","@id":"https:\/\/www.kolabtree.com\/blog\/#website","url":"https:\/\/www.kolabtree.com\/blog\/","name":"The Kolabtree Blog","description":"Expert Views on Science, Innovation and Product Development","publisher":{"@id":"https:\/\/www.kolabtree.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.kolabtree.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/www.kolabtree.com\/blog\/#organization","name":"Kolabtree","url":"https:\/\/www.kolabtree.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/logo\/image\/","url":"","contentUrl":"","caption":"Kolabtree"},"image":{"@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/kolabtree","https:\/\/twitter.com\/kolabtree","https:\/\/instagram.com\/kolabtree","https:\/\/www.linkedin.com\/company\/kolabtree","https:\/\/en.m.wikipedia.org\/wiki\/Kolabtree"]},{"@type":"Person","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/81992f5863a1b06d132a47822e7b4400","name":"Ramya Sriram","image":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8100b45c960ebbbbe420e8b3f250515f?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8100b45c960ebbbbe420e8b3f250515f?s=96&d=mm&r=g","caption":"Ramya Sriram"},"description":"Ramya Sriram manages digital content and communications at Kolabtree (kolabtree.com), the world's largest freelancing platform for scientists. She has over a decade of experience in publishing, advertising and digital content creation.","url":"https:\/\/www.kolabtree.com\/blog\/pt\/author\/ramyas\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/posts\/6489"}],"collection":[{"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/comments?post=6489"}],"version-history":[{"count":5,"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/posts\/6489\/revisions"}],"predecessor-version":[{"id":6497,"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/posts\/6489\/revisions\/6497"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/media\/6495"}],"wp:attachment":[{"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/media?parent=6489"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/categories?post=6489"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kolabtree.com\/blog\/pt\/wp-json\/wp\/v2\/tags?post=6489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}