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Nestor Nicolas Campos Rojas
En este proyecto vamos a utilizar un modelo disponible en Amazon SageMaker Studio para temas de visión computacional.
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Explora la visión computacional, un tema candente en la industria tecnológica actual
Utiliza un modelo prediseñado de Amazon SageMaker Studio, lo que proporciona a los estudiantes acceso a herramientas de última generación
Dirigido a estudiantes interesados en aplicaciones prácticas de la visión computacional
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Reviews summary
Implementación práctica de computer vision en sagemaker
Según los estudiantes, este curso es una excelente guía práctica para la implementación de modelos de Computer Vision en Amazon SageMaker. Muchos valoran su enfoque directo al grano y la claridad del instructor y las demostraciones, lo que les permite aplicar lo aprendido inmediatamente en sus carreras. Sin embargo, es crucial destacar que no es para principiantes; requiere conocimientos previos sólidos en AWS y Machine Learning. Algunos mencionan que el ritmo puede ser rápido y que el curso, al ser un proyecto enfocado en un nicho, no profundiza en la teoría o alternativas.
La claridad del instructor y las demostraciones facilitan el aprendizaje.
"El instructor es muy claro y los pasos son fáciles de seguir. Lo recomiendo totalmente."
"Muy satisfecho con este curso. Los demos son muy claros y las instrucciones precisas."
"La demostración del modelo de Computer Vision en SageMaker fue impecable. Pude seguir todo el proceso paso a paso."
Ofrece un enfoque práctico y directo al grano para aplicar modelos.
"Excelente curso para entender la implementación práctica de modelos de Computer Vision en SageMaker."
"Los demos son muy claros y las instrucciones precisas. Pude replicar el proyecto sin problemas."
"Impresionante. Pude aplicar lo aprendido inmediatamente en mi trabajo. La practicidad de los ejercicios es el punto fuerte."
Algunas explicaciones son rápidas y carecen de un contexto más amplio.
"La explicación en algunos puntos es un poco rápida, especialmente si no estás familiarizado con la interfaz de SageMaker."
"Hubiera agradecido más contexto sobre las decisiones detrás de la arquitectura del modelo o la optimización."
"El instructor se apresura un poco en ciertas explicaciones."
Se centra en un caso de uso muy específico, no es una visión amplia.
"Es un proyecto más que un curso completo. Se enfoca en un caso muy particular."
"El curso es bueno para lo que promete (implementar un modelo), pero siento que no profundiza en alternativas."
"A veces se siente un poco lineal, sin explorar alternativas, pero para una implementación rápida y efectiva es ideal."
Indispensable tener bases sólidas en AWS y Machine Learning antes de tomarlo.
"Es necesario tener conocimientos previos sólidos de AWS y Machine Learning para seguir el curso."
"Demasiado específico. Si bien el título lo indica, la falta de una introducción sólida a Computer Vision o a SageMaker en general lo hace difícil para principiantes."
"El curso es bueno para alguien que ya tiene experiencia considerable con AWS y ML. No es para principiantes."
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 Implementando modelo Computer Vision en Amazon Sagemaker with these
activities:
Revisión de SageMaker Studio y Amazon SageMaker
Show steps
Refresca tus conocimientos sobre SageMaker Studio y Amazon SageMaker para comprender mejor el modelo de visión computacional utilizado en este proyecto.
Show steps
-
Leer la documentación de SageMaker Studio
-
Explorar la interfaz de SageMaker Studio
-
Experimentar con modelos de visión computacional prediseñados
Ejercicios de código de visión computacional
Show steps
Fortalece tus habilidades de programación en visión computacional resolviendo ejercicios de codificación para mejorar la fluidez y la aplicación práctica.
Browse courses on
Python
Show steps
-
Encontrar ejercicios de codificación relevantes en línea
-
Resolver los ejercicios utilizando el lenguaje de programación del proyecto
-
Depurar y optimizar el código para mejorar su eficiencia
Sesiones de discusión con compañeros
Show steps
Participa en sesiones de discusión con compañeros para intercambiar ideas, aclarar conceptos y compartir conocimientos sobre el proyecto.
Show steps
-
Formar un grupo de estudio con compañeros
-
Programar sesiones de discusión regulares
-
Discutir el proyecto, compartir hallazgos y brindar apoyo
Show all three activities
Revisión de SageMaker Studio y Amazon SageMaker
Show steps
Refresca tus conocimientos sobre SageMaker Studio y Amazon SageMaker para comprender mejor el modelo de visión computacional utilizado en este proyecto.
Show steps
Show steps
Show steps
- Leer la documentación de SageMaker Studio
- Explorar la interfaz de SageMaker Studio
- Experimentar con modelos de visión computacional prediseñados
Ejercicios de código de visión computacional
Show steps
Fortalece tus habilidades de programación en visión computacional resolviendo ejercicios de codificación para mejorar la fluidez y la aplicación práctica.
Browse courses on
Python
Show steps
Show steps
Show steps
- Encontrar ejercicios de codificación relevantes en línea
- Resolver los ejercicios utilizando el lenguaje de programación del proyecto
- Depurar y optimizar el código para mejorar su eficiencia
Sesiones de discusión con compañeros
Show steps
Participa en sesiones de discusión con compañeros para intercambiar ideas, aclarar conceptos y compartir conocimientos sobre el proyecto.
Show steps
Show steps
Show steps
- Formar un grupo de estudio con compañeros
- Programar sesiones de discusión regulares
- Discutir el proyecto, compartir hallazgos y brindar apoyo
Show all three activities
Career center
Learners who complete Implementando modelo Computer Vision en Amazon Sagemaker will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
This course can be particularly useful for Computer Vision Engineers who are looking to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform that provides a variety of pre-built models for computer vision tasks. This course can help Computer Vision Engineers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Machine Learning Engineer
Machine Learning Engineer
This course can be helpful for Machine Learning Engineers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Machine Learning Engineers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Data Scientist
Data Scientist
This course can be helpful for Data Scientists who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Data Scientists learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Software Engineer
Software Engineer
This course may be helpful for Software Engineers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Software Engineers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Data Analyst
Data Analyst
This course may be helpful for Data Analysts who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Data Analysts learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Project Manager
Project Manager
This course may be helpful for Project Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Project Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Product Manager
Product Manager
This course may be helpful for Product Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Product Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Business Analyst
Business Analyst
This course may be helpful for Business Analysts who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Business Analysts learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Marketing Manager
Marketing Manager
This course may be helpful for Marketing Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Marketing Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Sales Manager
Sales Manager
This course may be helpful for Sales Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Sales Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Account Manager
Account Manager
This course may be helpful for Account Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Account Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Customer Success Manager
Customer Success Manager
This course may be helpful for Customer Success Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Customer Success Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Operations Manager
Operations Manager
This course may be helpful for Operations Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Operations Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Finance Manager
Finance Manager
This course may be helpful for Finance Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Finance Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
Human Resources Manager
Human Resources Manager
This course may be helpful for Human Resources Managers who want to implement computer vision models in Amazon SageMaker. Amazon SageMaker is a platform used for building and deploying machine learning models, and it offers a variety of pre-built models for computer vision tasks. This course can help Human Resources Managers learn how to use Amazon SageMaker to implement these models and solve real-world problems.
For more career information including salaries, visit:
OpenCourser.com/course/3fhv68/implementando
Reading list
We've selected nine 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
Implementando modelo Computer Vision en Amazon Sagemaker.
Save
Este libro integral es una referencia esencial para los conceptos y algoritmos de aprendizaje profundo, que son fundamentales en la visión por computadora.
Este libro de texto clásico ofrece una cobertura integral de los fundamentos de la visión por computadora, proporcionando un recurso valioso para una comprensión más profunda.
Save
Este libro proporcionará antecedentes sólidos en los fundamentos teóricos y prácticos de la visión por computadora, que será esencial para comprender el modelo utilizado en este curso.
Este libro ofrece una introducción práctica a las técnicas de aprendizaje profundo utilizadas en la visión por computadora, que complementará el uso del modelo de Amazon SageMaker.
Save
Este libro proporciona una descripción general de los conceptos y la arquitectura de la computación en la nube, que es esencial para comprender el uso de Amazon SageMaker y otros servicios en la nube.
Este libro ofrece una introducción práctica a las bibliotecas y marcos de trabajo de aprendizaje profundo de Python, que son esenciales para implementar modelos de visión por computadora.
Este libro práctico proporciona una guía paso a paso sobre cómo usar la biblioteca de visión por computadora OpenCV con Python.
Este libro práctico guía a los estudiantes a través de la implementación práctica de modelos de machine learning utilizando bibliotecas populares como Scikit-Learn, Keras y TensorFlow.
Este libro proporciona una base en modelos gráficos probabilísticos, que son relevantes para la visión por computadora en áreas como el reconocimiento de objetos y la segmentación de imágenes.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3fhv68/implementando
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Effort
1 hora de trabajo
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
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