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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.
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APIs de AA previamente entrenadas
En este módulo, profundizaremos en los modelos de AA previamente creados y entrenados, a los que podemos acceder (como el reconocimiento de imágenes y el análisis de opiniones) en Cloud Datalab.
Creación de​conjuntos de datos de AA en BigQuery
Comprender cómo crear conjuntos de datos de AA con BigQuery
Creación de modelos de AA en BigQuery
En este módulo, aprenderás cómo crear modelos de aprendizaje automático directamente en BigQuery. Aprenderás la nueva sintaxis y analizarás las etapas de creación, evaluación y prueba de un modelo de AA.
Resumen de fin del curso
Llegaste al final del curso. Revisemos las lecciones aprendidas en el curso y qué recursos están disponibles para seguir instruyéndote.

Good to know

Know what's good
, what to watch for
, 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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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.
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  • 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.
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  • 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.
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
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.
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.
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.
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.
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.

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