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Applying Machine Learning to Your Data with GC - Español

Google Cloud Training

En este curso, definimos qué es el aprendizaje automático y cómo puede beneficiar a tu negocio. Verás algunas demostraciones de AA en acción y aprenderás términos clave de AA, como instancias, atributos y etiquetas. En los labs interactivos, practicarás la invocación de las APIs de AA previamente entrenadas que están disponibles y crearás tus propios modelos de aprendizaje automático con solo SQL y BigQuery ML.

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What's inside

Syllabus

Introducción
Descripción general de lo que aprenderás en este curso
Introducción al aprendizaje automático
En este módulo, definimos qué es el aprendizaje automático y cómo puede beneficiar a tu negocio. Verás algunas demostraciones de AA en acción y aprenderás términos clave de AA, como instancias, atributos y etiquetas.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explora el aprendizaje automático, que es un estándar en la industria tecnológica
Enseña conceptos clave de aprendizaje automático, como instancias, atributos y etiquetas
Desarrolla habilidades para invocar API de aprendizaje automático preentrenadas y crear modelos con SQL y BigQuery ML
Ofrece laboratorios interactivos para la práctica
Construye una base sólida para principiantes en el aprendizaje automático
Requiere conocimientos previos en SQL y BigQuery

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Reviews summary

Ml práctico con bigquery en google cloud

Según los estudiantes, este curso ofrece una excelente introducción práctica al Aprendizaje Automático, especialmente útil para aquellos que desean aplicar ML con datos en Google Cloud. Los laboratorios interactivos y los ejemplos con BigQuery ML son ampliamente elogiados como el punto fuerte, proporcionando una experiencia práctica y valiosa. Los conceptos clave de ML se explican con claridad. Sin embargo, algunos advierten que el ritmo puede ser rápido para quienes no tienen experiencia previa en SQL o BigQuery. Aunque ofrece una base sólida, la cobertura de modelos avanzados o teoría profunda puede ser limitada, enfocándose más en la aplicación directa. Es ideal para profesionales que buscan integración inmediata.
Conceptos básicos de ML explicados con claridad.
"Excelente curso para entender el ML y cómo aplicarlo..."
"La explicación de los términos clave de ML fue muy clara."
"Me gustó cómo desglosan los conceptos básicos, haciéndolos accesibles."
"Las explicaciones fueron claras, especialmente respecto a términos como atributos y etiquetas."
Excelente para usar ML directamente con SQL.
"Me gustó mucho la parte de BigQuery ML, es realmente potente."
"La sintaxis de BigQuery ML es sencilla una vez que la entiendes con los ejemplos."
"Aprenderás cómo crear modelos de aprendizaje automático directamente en BigQuery."
"Los ejemplos con BigQuery ML son oro puro para entender su aplicación."
Curso muy práctico con laboratorios excelentes.
"Los laboratorios son muy prácticos y te permiten ver cómo funciona todo en un entorno real."
"Muy útil para ver cómo integrar ML en mi trabajo diario."
"Realmente me dio una base sólida para explorar más. Es ideal para profesionales de datos."
"Los laboratorios son la parte más fuerte. Me encantó aprender haciendo."
Potencial mejora en el soporte para labs.
"Si te quedas atascado no hay mucha ayuda disponible."
"Podría mejorar el soporte en los labs si surgen dudas o problemas."
Más centrado en aplicación que en teoría profunda.
"Me hubiera gustado un poco más de profundidad en los modelos avanzados..."
"Me pareció un poco superficial en algunos temas de teoría."
"Sentí que no profundizaba lo suficiente en la teoría del ML, es más una introducción práctica."
"Es un curso introductorio, quizás no para quienes buscan modelos avanzados."
Requiere familiaridad con SQL y BigQuery para seguir el ritmo.
"Quizás un poco rápido si no tienes ninguna base en SQL o ML..."
"A veces sentí que se asumía mucho conocimiento previo de BigQuery."
"No lo recomendaría si no estás familiarizado con SQL avanzado."
"Necesitarás algo de base en SQL para aprovecharlo al máximo."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Applying Machine Learning to Your Data with GC - Español with these activities:
Ejercicios de invocación de API de aprendizaje automático
Practicar la invocación de las API de aprendizaje automático en Cloud Datalab fortalecerá su comprensión de la API.
Browse courses on Cloud Datalab
Show steps
  • Cree un proyecto en Cloud Datalab y habilite las API necesarias.
  • Siga las instrucciones proporcionadas en el curso para invocar las API.
  • Experimente con diferentes parámetros de API y analice los resultados.
Tutoriales sobre creación de modelos de aprendizaje automático con BigQuery ML
Seguir tutoriales sobre la creación de modelos de aprendizaje automático con BigQuery ML mejorará sus habilidades prácticas.
Browse courses on BigQuery ML
Show steps
  • Encuentre tutoriales paso a paso sobre la creación de modelos en BigQuery ML.
  • Siga los tutoriales y complete los ejercicios prácticos.
  • Experimente con diferentes conjuntos de datos y parámetros de modelo.
Show all two activities

Career center

Learners who complete Applying Machine Learning to Your Data with GC - Español will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. A Data Scientist creates predictive models to extract insights, derive outcomes, and make strategic business decisions. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial for your career in data science.
See salaries and explore the career path for Data Scientist
Data Analyst
A Data Analyst analyzes data to provide insights and help businesses make informed decisions. They collect, clean, and interpret data, and use statistical techniques to identify trends and patterns. A Data Analyst may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial for your career in data analysis.
See salaries and explore the career path for Data Analyst
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They work with data scientists and other engineers to build and maintain machine learning systems. A Machine Learning Engineer may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Business Analyst
A Business Analyst identifies and analyzes opportunities for business improvement. They work with stakeholders to define requirements, develop solutions, and implement changes. A Business Analyst may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Business Analyst.
See salaries and explore the career path for Business Analyst
Software Engineer
A Software Engineer designs, develops, and maintains software applications. A Software Engineer may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Software Engineer.
See salaries and explore the career path for Software Engineer
IT Architect
An IT Architect designs and develops technical solutions for an organization. An IT Architect may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as an IT Architect.
See salaries and explore the career path for IT Architect
Data Engineer
A Data Engineer builds and maintains data pipelines and data infrastructure. A Data Engineer may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Data Engineer.
See salaries and explore the career path for Data Engineer
Product Manager
A Product Manager is responsible for the development and launch of new products and services. A Product Manager may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Product Manager.
See salaries and explore the career path for Product Manager
Project Manager
A Project Manager plans and executes projects to achieve specific goals. A Project Manager may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Project Manager.
See salaries and explore the career path for Project Manager
Marketer
A Marketer develops and executes marketing campaigns to promote products and services. A Marketer may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial for your career in marketing.
See salaries and explore the career path for Marketer
Salesperson
A Salesperson sells products and services to customers. A Salesperson may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial for your career in sales.
See salaries and explore the career path for Salesperson
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics. A Consultant may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Consultant.
See salaries and explore the career path for Consultant
Entrepreneur
An Entrepreneur starts and runs a business. An Entrepreneur may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as an Entrepreneur.
See salaries and explore the career path for Entrepreneur
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. A Financial Analyst may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as a Financial Analyst.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
An Operations Research Analyst develops and applies mathematical models to solve business problems. An Operations Research Analyst may also use machine learning to build predictive models. This course may be useful for you because it introduces you to machine learning and how it can be applied to data using Google Cloud. Learning to apply machine learning can help you build essential skills that will be beneficial in your career as an Operations Research Analyst.
See salaries and explore the career path for Operations Research Analyst

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Applying Machine Learning to Your Data with GC - Español.
Cover image
Deep Learning with Python, Second Edition
Save
Este libro proporciona una guía completa sobre el aprendizaje profundo utilizando Python y la biblioteca Keras. Si bien se enfoca en el aprendizaje profundo, ofrece información valiosa sobre los conceptos de aprendizaje automático que se aplican en este curso.
(English) Deep Learning with Python, Second Edition
Paperback
$$
(English) Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
The Elements of Statistical Learning
Save
Este libro de texto clásico ofrece una cobertura integral de las técnicas estadísticas que subyacen al aprendizaje automático. Si bien es más teórico que práctico, proporciona una base sólida en los principios estadísticos que sustentan los algoritmos de aprendizaje automático.
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Java Data Analysis
Save
Este libro ofrece una introducción integral a la ciencia de datos y el aprendizaje automático en el contexto de big data. Brinda una descripción general de las herramientas y técnicas esenciales, lo que lo convierte en una opción valiosa para aquellos que buscan una comprensión multidisciplinaria del tema.
Java Data Analysis
Paperback
Check
Java Data Analysis
Kindle Edition
Check
Cover image
The Construction Technology Handbook
Save
Este libro práctico se enfoca en la aplicación del aprendizaje automático en un contexto empresarial. Proporciona orientación sobre cómo identificar oportunidades de aprendizaje automático, seleccionar algoritmos apropiados y evaluar el impacto comercial de los modelos implementados.
(English) The Construction Technology Handbook
Hardcover
$$
(English) The Construction Technology Handbook: Making Sense...
Kindle Edition
$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
Esta guía práctica paso a paso utiliza TensorFlow para implementar algoritmos de aprendizaje automático. Ofrece una introducción práctica al tema, lo que lo convierte en una opción valiosa para aquellos que buscan desarrollar habilidades prácticas en aprendizaje automático utilizando TensorFlow.
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
MACHINE LEARNING
Save
Este libro adopta un enfoque algorítmico para el aprendizaje automático. Proporciona una sólida comprensión de los fundamentos teóricos y los algoritmos subyacentes, lo que lo convierte en una opción valiosa para aquellos con un interés profundo en los aspectos computacionales del aprendizaje automático.
(English) Machine Learning: An Algorithmic Perspective,...
Hardcover
$$$
(English) Machine Learning: An Algorithmic Perspective...
Paperback
$$
(English) An Algorithmic Perspective on Machine Learning (2nd...
Paperback
$$$
(English) Machine Learning: An Algorithmic Perspective,...
Kindle Edition
$$$
Cover image
Machine Learning with Spark and Python
Save
Esta guía introductoria utiliza Python para enseñar los conceptos fundamentales del aprendizaje automático. Es una opción adecuada para aquellos que buscan una introducción práctica al tema sin requisitos previos extensos.
(English) Machine Learning with Spark and Python: Essential...
Paperback
$$
(中文) Spark and Python Machine Learning in Action: Core...
Paperback
$$
(English) Machine Learning with Spark and Python: Essential...
Kindle Edition
$$

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Course image
Effort
10 hours to complete
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Español
Transcript
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explora el aprendizaje automático, que es un estándar en la industria tecnológica
Enseña conceptos clave de aprendizaje automático, como instancias, atributos y etiquetas
Desarrolla habilidades para invocar API de aprendizaje automático preentrenadas y crear modelos con SQL y BigQuery ML
Ofrece laboratorios interactivos para la práctica
Construye una base sólida para principiantes en el aprendizaje automático
Requiere conocimientos previos en SQL y BigQuery
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