{"id":5035,"date":"2023-02-22T08:00:00","date_gmt":"2023-02-22T11:00:00","guid":{"rendered":"https:\/\/coodesh.com\/blog\/?p=5035"},"modified":"2024-01-05T07:40:09","modified_gmt":"2024-01-05T10:40:09","slug":"o-que-e-machine-learning","status":"publish","type":"post","link":"https:\/\/coodesh.com\/blog\/dicionario\/o-que-e-machine-learning\/","title":{"rendered":"O que \u00e9 Machine Learning?"},"content":{"rendered":"\n

Entender o que \u00e9 Machine Learning \u00e9 importante para que o desenvolvedor ou qualquer outro profissional de tecnologia saiba se situar nos projetos mais disruptivos. Isso porque essa tend\u00eancia chegou para ficar e acrescenta inova\u00e7\u00e3o \u00e0s tarefas que antes eram manuais. <\/p>\n\n\n\n

O exemplo mais cl\u00e1ssico de Machine Learning \u00e9 o chatbot presente nos sites, redes sociais e aplicativos. Baseado em padr\u00f5es e algoritmos, ele imita o pensamento humano. Isso porque o conceito est\u00e1 inserido em algo mais abrangente, que \u00e9 a Intelig\u00eancia Artificial. <\/p>\n\n\n\n

O tema Machine Learning est\u00e1 no Dicion\u00e1rio Tech da Coodesh, que traz um resumo dos conceitos mais utilizados no mundo da programa\u00e7\u00e3o para desenvolvedores e tech recruiters. <\/p>\n\n\n\n

Defini\u00e7\u00e3o <\/h2>\n\n\n\n

Machine Learning est\u00e1 dentro do guarda-chuva da Intelig\u00eancia Artificial. Ele se baseia em padr\u00f5es, coleta e an\u00e1lise de dados para a tomada de decis\u00f5es. <\/p>\n\n\n\n

Como no chatbot, atrav\u00e9s de FAQs (Frequently Asked Questions ou Perguntas Respondidas Frequentemente), por exemplo, o Machine Learning \u00e9 usado para simular respostas humanas direcionadas \u00e0s d\u00favidas dos usu\u00e1rios, bem como direcionar o atendimento para pessoas \u201cde verdade\u201d. <\/p>\n\n\n\n

Portanto, ele \u00e9 um ramo importante dentro da Ci\u00eancia de Dados e tem variadas aplica\u00e7\u00f5es no mundo dos neg\u00f3cios, desde solu\u00e7\u00f5es mais simples para problemas individuais at\u00e9 projetos mais complexos para grupos sociais. <\/p>\n\n\n\n

Hist\u00f3ria <\/h2>\n\n\n\n

O termo Machine Learning foi usado pela primeira vez pelo cientista da computa\u00e7\u00e3o Arthur Samuel<\/a>, ent\u00e3o colaborador da IBM. Ele usou esta denomina\u00e7\u00e3o para contextualizar um jogo de damas.\u00a0<\/p>\n\n\n\n

Mas tal jogo de damas n\u00e3o era uma pr\u00e1tica qualquer. O jogo de damas em quest\u00e3o foi disputado entre o autoproclamado rei da dama, Robert Nealey, e um computador IBM no ano de 1962. Na ocasi\u00e3o, o expert no assunto perdeu o jogo para o computador, demonstrando o poder da m\u00e1quina. <\/p>\n\n\n\n

Desse modo, a intelig\u00eancia das m\u00e1quinas vem acompanhada de precis\u00e3o e agilidade, coisa que n\u00e3o \u00e9 regra geral entre os humanos, pois estamos suscet\u00edveis a erros e pr\u00e9-julgamentos. <\/p>\n\n\n\n

Categorias <\/h2>\n\n\n\n

Em meio \u00e0 minera\u00e7\u00e3o de dados, o Machine Learning aplica m\u00e9todos estat\u00edsticos para reproduzir e simular o pensamento humano. Mas voc\u00ea sabe as categorias nas quais se d\u00e1 esse processo? <\/p>\n\n\n\n

Basicamente, os classificadores est\u00e3o em uma das tr\u00eas categorias prim\u00e1rias que ser\u00e3o apresentadas na sequ\u00eancia: <\/p>\n\n\n\n

Supervisionado:<\/strong> ele aplica algoritmos para classificar dados rotulados. Um exemplo \u00e9 a caixa de entrada do seu e-mail que filtra as mensagens e as classifica como spam, promo\u00e7\u00f5es, entre outras divis\u00f5es. <\/p>\n\n\n\n

N\u00e3o supervisionado<\/strong>: ele utiliza algoritmos de Machine Learning para analisar e agrupar conjuntos de dados n\u00e3o rotulados. Ele consegue identificar diferen\u00e7as e semelhan\u00e7as para uma an\u00e1lise de dados mais aprofundada. <\/p>\n\n\n\n

Semi-supervisionado<\/strong>: ele usa um conjunto de dados rotulado menor para aplicar a classifica\u00e7\u00e3o e a retirada de recursos de um conjunto de dados maior e n\u00e3o rotulado.<\/p>\n\n\n\n

O mais interessante \u00e9 que esse processamento de dados ocorre de forma aut\u00f4noma, sem a interven\u00e7\u00e3o constante de um humano. Assim, as empresas que utilizam o Machine Learning conseguem ser mais assertivas e sair \u00e0 frente da concorr\u00eancia. <\/p>\n\n\n\n

Conclus\u00e3o <\/h2>\n\n\n\n

Voc\u00ea viu aqui o que \u00e9 Machine Learning. Ele pode ser usado nos mais diversos setores e segmentos para inovar em processos e trazer mais agilidade aos fluxos dos projetos.\u00a0Aproveite para conferir outros termos do Dicion\u00e1rio Tech <\/a>e conhecer a plataforma<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Entender o que \u00e9 Machine Learning \u00e9 importante para que o desenvolvedor ou qualquer outro profissional de tecnologia saiba se situar nos projetos mais disruptivos. 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