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

Art and Science of Machine Learning em Português Brasileiro

This course is part of Machine Learning with TensorFlow on Google Cloud em Português Brasileiro Specialization

Taught in Portuguese (Brazil)

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.6

(14 reviews)

Intermediate level
Some related experience required
18 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(14 reviews)

Intermediate level
Some related experience required
18 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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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 quiz1 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 quiz2 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 quizzes

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

What's included

7 videos1 reading2 quizzes2 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 quiz1 app item

What's included

1 video3 readings

Instructor

Google Cloud Training
Google Cloud
1,323 Courses2,540,525 learners

Offered by

Google Cloud

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