Google Cloud
Art and Science of Machine Learning em Português Brasileiro
Google Cloud

Art and Science of Machine Learning em Português Brasileiro

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Gain insight into a topic and learn the fundamentals.
4.7

(15 reviews)

Intermediate level
Some related experience required
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(15 reviews)

Intermediate level
Some related experience required
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

7 assignments

Taught in Portuguese (Brazil)

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This course is part of the Machine Learning with TensorFlow on Google Cloud em Português Brasileiro Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 7 modules in this course

Este é o curso Art and Science of Machine Learning. 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.

What's included

2 videos

Neste módulo, você aprenderá a ajustar o tamanho do lote e a taxa de aprendizado para melhorar o desempenho do modelo, otimizá-lo e aplicar os conceitos ao código do TensorFlow.

What's included

8 videos2 readings1 assignment1 app item

Neste módulo, você aprenderá a diferenciar parâmetros e hiperparâmetros. Em seguida, veremos a abordagem tradicional de pesquisa de grade e outras com algoritmos mais inteligentes. Por fim, você verá como o Cloud ML Engine facilita a automação do ajuste de hiperparâmetros.

What's included

5 videos1 reading1 assignment2 app items

Neste módulo, falaremos da ciência junto com a arte do machine learning. Primeiro vamos falar sobre como fazer a regularização da esparsidade e criar modelos mais simples e concisos. Depois abordaremos a regressão logística e veremos como determinar o desempenho.

What's included

5 videos2 readings2 assignments

Neste módulo, vamos nos aprofundar na ciência, especificamente as redes neurais.

What's included

7 videos1 reading2 assignments2 app items

Neste módulo, você aprenderá a usar embeddings para gerenciar dados esparsos, acelerando o treinamento e reduzindo o consumo de memória dos modelos de machine learning que usam esses dados. Os embeddings também são uma forma de reduzir a dimensionalidade e tornar os modelos mais simples e generalizáveis.

What's included

8 videos1 reading1 assignment1 app item

What's included

1 video3 readings

Instructor

Google Cloud Training
Google Cloud
1,690 Courses2,810,044 learners

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Google Cloud

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