Este é o curso Art and Science of Machine Learning. O curso tem seis módulos. Falaremos sobre as habilidades essenciais de intuição, bom senso e experimentação em ML para ajustar e otimizar modelos e ter melhor desempenho. Você aprenderá a generalizar os modelos usando técnicas de regularização e conhecerá os efeitos dos hiperparâmetros, como tamanho de lote e taxa de aprendizado, sobre o desempenho do modelo. Também abordaremos alguns algoritmos mais comuns de otimização de modelo e mostraremos como especificar um método de otimização no código do TensorFlow.
This course is part of the Machine Learning with TensorFlow on Google Cloud em Português Brasileiro Specialization
Art and Science of Machine Learning em Português Brasileiro
About this Course
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About the Machine Learning with TensorFlow on Google Cloud em Português Brasileiro Specialization
O que é aprendizado de máquina e que tipos de problema ele pode resolver? Quais são as cinco fases da conversão de um possível caso de uso de aprendizado de máquina e por que é importante que elas não sejam ignoradas? Por que as redes neurais são tão requisitadas hoje? Como configurar um problema de aprendizado supervisionado, além de encontrar uma solução ótima e generalizável com gradiente descendente e uma boa forma de criar conjuntos de dados? Aprenda a gravar modelos de aprendizado de máquina distribuídos com escalonamento no TensorFlow, faça escalonamento horizontal do treinamento desses modelos e ofereça previsões de alto desempenho. Converta dados brutos em atributos para informar características importantes desses dados ao aprendizado de máquina e ofereça uma percepção humana para dar suporte ao problema. Por fim, aprenda a incorporar a combinação ideal de parâmetros que produz modelos precisos e generalizados, além de conhecer a teoria para resolver tipos específicos de problemas de aprendizado de máquina. Você passará por todas as etapas do aprendizado de máquina, desde a criação de uma estratégia voltada para aprendizado de máquina até o treinamento, a otimização e a produção de modelos em laboratórios práticos com o Google Cloud Platform.
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Last Updated: September 1, 2015
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