Acerca de este Curso
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 5 horas para completar

Sugerido: 2 semanas de estudo, de 5 a 7 horas por semana...
Idiomas disponibles

Portugués (de Brasil)

Subtítulos: Portugués (de Brasil), Francés (French), Alemán (German), Inglés (English), Español (Spanish), Japonés...
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 5 horas para completar

Sugerido: 2 semanas de estudo, de 5 a 7 horas por semana...
Idiomas disponibles

Portugués (de Brasil)

Subtítulos: Portugués (de Brasil), Francés (French), Alemán (German), Inglés (English), Español (Spanish), Japonés...

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
1 minuto para completar

Introdução

Quer aprender a melhorar a precisão dos seus modelos de aprendizado de máquina? Que tal descobrir quais colunas de dados criam os atributos mais úteis? Damos as boas vindas ao curso Feature Engineering no Google Cloud Platform. Falaremos sobre a diferença entre atributos bons e ruins, além de como pré-processar e transformar essas variáveis para o uso ideal nos seus modelos....
Reading
1 video (Total: 1 min)
Horas para completar
2 horas para completar

De dados brutos a atributos

A engenharia de atributos é geralmente a fase mais longa e difícil da criação de projetos de aprendizado de máquina. No processo de engenharia de atributos, você começa com dados brutos e usa seu conhecimento específico para criar os atributos que farão seus algoritmos de aprendizado de máquina funcionar. Neste módulo, veremos como criar um bom atributo e como representá-lo no seu modelo....
Reading
14 videos (Total: 52 min), 3 quizzes
Video14 videos
Atributos bons x ruins2m
Questionário: os atributos são relacionados ao objetivo3m
Atributos conhecidos no momento da previsão3m
Questionário: os atributos são conhecidos no momento da previsão4m
Os atributos devem ser numéricosm
Questionário: os atributos devem ser numéricos5m
Os atributos precisam ter exemplos suficientes1m
Questionário: os atributos precisam ter exemplos suficientes (p1)2m
Questionário: os atributos precisam ter exemplos suficientes (p2)2m
Como trazer a percepção humanam
Como representar os atributos8m
Aprendizado de máquina x estatísticas3m
Solução do laboratório: como melhorar a precisão do modelo com novos atributos12m
Quiz2 ejercicios de práctica
De dados brutos a atributos6m
Como representar atributos6m
Horas para completar
4 horas para completar

Pré-processamento e criação de atributos

Esta seção do módulo aborda o pré-processamento e a criação de atributos. Essas são técnicas de processamento de dados que podem ajudar você a preparar um conjunto de atributos para um sistema de aprendizado de máquina....
Reading
10 videos (Total: 52 min), 6 quizzes
Video10 videos
Beam e Dataflow9m
Introdução ao laboratório: canal simples do Dataflowm
Solução do laboratório: canal simples do Dataflow6m
Canais de dados que podem ser escalonados5m
Introdução ao laboratório: MapReduce no Dataflowm
Solução do laboratório: MapReduce no Dataflow3m
Pré-processamento com o Cloud Dataprep6m
Introdução ao laboratório: computação de atributos definidos pelo intervalo de tempo no Cloud Dataprep10m
Solução do laboratório: computação de atributos definidos pelo intervalo de tempo no Cloud Dataprepm
Quiz3 ejercicios de práctica
Pré-processamento e criação de atributos14m
Apache Beam e Cloud Dataflow14m
Pré-processamento com o Cloud Dataprep4m
Horas para completar
3 horas para completar

Cruzamento de atributos

No aprendizado de máquina tradicional, o cruzamento de atributos não tem uma função. No entanto, em métodos modernos, esse recurso é um item indispensável do seu kit de ferramentas. Neste módulo, você aprenderá como saber em que tipos de problemas o cruzamento de atributos pode ajudar o aprendizado de máquina....
Reading
18 videos (Total: 90 min), 2 quizzes
Video18 videos
O que é o cruzamento de atributos?5m
Discretização1m
Memorização x generalização4m
Cores da taxonomia4m
Introdução ao laboratório: cruzamentos de atributos para criar um bom classificadorm
Solução do laboratório: cruzamentos de atributos para criar um bom classificador6m
Esparsidade + questionário5m
Introdução ao laboratório: às vezes menos é maism
Solução do laboratório: às vezes menos é mais7m
Implementação de cruzamento de atributos5m
Incorporação de cruzamento de atributos9m
Onde aplicar a engenharia de atributos6m
Criação de atributos no TensorFlow2m
Criação de atributos no DataFlow2m
Introdução ao laboratório: como melhorar um modelo de aprendizado de máquina com a engenharia de atributosm
Solução do laboratório (p1): questionário imparcial sobre o AM3m
Solução do laboratório (p2): como melhorar um modelo de AM com a engenharia de dados20m
Quiz1 ejercicio de práctica
Cruzamento de atributos8m
Horas para completar
2 horas para completar

TF Transform

O TensorFlow Transform (tf.Transform) é uma biblioteca de dados de pré-processamento no TensorFlow. Ele pode ser usado para casos de pré-processamento que necessitem de uma transmissão total de dados, como: - normalização de valores de entrada por média e stdev; - integralização de vocabulário a partir da análise de todos os exemplos de entrada dos valores; - criação de intervalos para entradas com base na distribuição de dados observada. Neste módulo, conheceremos os casos de uso do tf.Transform....
Reading
7 videos (Total: 42 min), 2 quizzes
Video7 videos
Transformação no TensorFlow8m
Fase de análise3m
Fase de transformação4m
Serviços de suporte3m
Introdução ao laboratório: como usar o tf.transform1m
Solução do laboratório: como usar o tf.transform19m
Quiz1 ejercicio de práctica
tf.transform6m
Horas para completar
3 minutos para completar

Resumo

Neste módulo, faremos uma recapitulação dos principais pontos aprendidos em cada módulo do curso Feature Engineering: como selecionar bons atributos, como realizar pré-processamento em grande escala, como usar cruzamentos de atributos e treinamento prático com o TensorFlow....
Reading
1 video (Total: 3 min)
Video1 video

Acerca de Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

Acerca del programa especializado Machine Learning with TensorFlow on Google Cloud Platform em Português Brasileiro

>>> Ao se inscrever nesta especialização você concorda com os Termos de Serviço do Qwiklabs conforme estabelecido na seção de perguntas frequentes. Veja os Termos de Serviço no site https://qwiklabs.com/terms_of_service <<< 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....
Machine Learning with TensorFlow on Google Cloud Platform em Português Brasileiro

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    Last Updated: September 1, 2015

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