Google Cloud
Launching into Machine Learning en Español
Google Cloud

Launching into Machine Learning en Español

This course is part of Machine Learning with TensorFlow on Google Cloud en Español Specialization

Taught in Spanish

3,661 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.7

(112 reviews)

Beginner level
No prior experience required
18 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Describir cómo mejorar la calidad de los datos y realizar análisis exploratorios de datos

  • Compilar y entrenar modelos de AutoML con Vertex AI y BigQuery ML

  • Optimizar y evaluar los modelos mediante las funciones de pérdida y las métricas de rendimiento

  • Crear conjuntos de datos de entrenamiento, evaluación y prueba repetibles y escalables

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(112 reviews)

Beginner level
No prior 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 en Español 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 8 modules in this course

En este módulo, se brinda una descripción general del curso y sus objetivos.

What's included

1 video

En este módulo, examinaremos cómo mejorar la calidad de los datos y explorar los datos mediante análisis exploratorios de datos. Observaremos la importancia de tener datos limpios y ordenados para el aprendizaje automático y mostraremos su efecto en la calidad de los datos. Por ejemplo, los valores omitidos pueden sesgar los resultados. También aprenderá la importancia de explorar sus datos. Una vez que los datos estén limpios y ordenados, realizaremos un análisis exploratorio del conjunto de datos.

What's included

9 videos1 reading1 quiz2 app items

En este módulo, presentaremos algunos de los tipos principales de aprendizaje automático, de modo que pueda acelerar su crecimiento como profesional del AA.

What's included

6 videos1 reading1 quiz1 app item

En este módulo, haremos una introducción al entrenamiento de modelos de AutoML con Vertex AI.

What's included

7 videos1 reading1 quiz1 app item

En este módulo, haremos una introducción a BigQuery ML y sus capacidades.

What's included

8 videos1 reading1 quiz2 app items

En este módulo, explicaremos cómo optimizar sus modelos de AA.

What's included

12 videos1 reading1 quiz

Llegó el momento de responder una pregunta un tanto extraña: ¿en qué situaciones es mejor no elegir el modelo de AA más exacto? Como dimos a entender en el último módulo sobre la optimización, el solo hecho de que un modelo tenga una métrica de pérdida de 0 para un conjunto de datos no significa que vaya a tener un buen rendimiento cuando se aplique a datos nuevos del mundo real. Aprenderá a crear conjuntos de datos de entrenamiento, evaluación y prueba repetibles y establecer comparativas de rendimiento.

What's included

5 videos1 reading1 quiz

Este módulo es un resumen del curso Introducción al aprendizaje automático

What's included

4 readings

Instructor

Instructor ratings
4.7 (24 ratings)
Google Cloud Training
Google Cloud
1,303 Courses2,479,275 learners

Offered by

Google Cloud

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4.7

112 reviews

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SG
5

Reviewed on Dec 29, 2018

EB
5

Reviewed on Aug 18, 2020

AG
4

Reviewed on Nov 9, 2020

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