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Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, aprenderás a desarrollar modelos no supervisados con uno de los servicios cognitivos de Azure (Form Recognizer) para analizar formularios en archivos PDF y extraer los datos en un formato clave valor.
Read more
En este proyecto de 1 hora, aprenderás a desarrollar modelos no supervisados con uno de los servicios cognitivos de Azure (Form Recognizer) para analizar formularios en archivos PDF y extraer los datos en un formato clave valor.
Read more
En este proyecto de 1 hora, aprenderás a desarrollar modelos no supervisados con uno de los servicios cognitivos de Azure (Form Recognizer) para analizar formularios en archivos PDF y extraer los datos en un formato clave valor.
Podrás entrenar y validar el modelo mediante un orquestador construido con una aplicación lógica (Logic App) que se ejecutará al momento de subir un nuevo archivo a analizar.
Además, podrás analizar el resultado del servicio cognitivo y compararlo con el archivo PDF de pruebas que se utiliza para verificar el modelo generado.
Register for this course and see more details by visiting:
OpenCourser.com/course/158jyt/analisis
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What's inside
Syllabus
Análisis de documentos con servicios cognitivos de Azure
Al final de este proyecto, tú entenderás y aplicarás algunos servicios de Azure para poder analizar documentos mediante técnicas de Machine Learning que incluyen estos componentes, sin necesidad de codificación.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Dirigido a profesionales en el campo de la administración de datos, este curso proporciona conocimientos y habilidades prácticas para analizar documentos utilizando servicios cognitivos de Azure
Brinda una comprensión integral del servicio Form Recognizer de Azure, que permite la extracción eficiente de datos de archivos PDF
Fomenta el desarrollo de habilidades prácticas a través de un proyecto guiado, lo que permite a los participantes aplicar los conceptos aprendidos de inmediato
Requiere conocimientos previos en el uso de aplicaciones lógicas de Azure, lo que puede ser una limitación para algunos participantes
La duración del curso es de solo 1 hora, lo que puede ser insuficiente para cubrir el tema en profundidad
El curso utiliza la versión de 2019 de los servicios cognitivos de Azure, que puede no ser la versión más actualizada
Save this course
Save Análisis de documentos con servicios cognitivos de Azure to your list so you can find it easily later:
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Reviews summary
Azure document analysis introduction
This course introduces students to unsupervised model development using Azure’s Form Recognizer which allows users to analyze forms in PDF files. You'll learn to analyze results against a sample PDF file to verify the model. No coding is required.
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 Análisis de documentos con servicios cognitivos de Azure with these
activities:
Review Supervised Machine Learning
Show steps
Revisando el aprendizaje automático supervisado, reforzarás los conceptos fundamentales necesarios para comprender el servicio de reconocimiento de formularios.
Browse courses on
Supervised Machine Learning
Show steps
-
Revisa los algoritmos de aprendizaje automático supervisado, como la regresión lineal y la clasificación logística.
-
Practica la implementación de modelos de aprendizaje automático supervisado utilizando bibliotecas como Scikit-learn o TensorFlow.
Tutoriales guiados sobre Logic Apps
Show steps
Los tutoriales guiados sobre Logic Apps te brindarán las habilidades prácticas necesarias para crear orquestadores automatizados para procesar archivos PDF.
Browse courses on
Logic Apps
Show steps
-
Completa tutoriales en línea o talleres sobre Logic Apps de Microsoft.
-
Implementa tus propias Logic Apps para automatizar tareas como el procesamiento y análisis de archivos PDF.
Show all two activities
Review Supervised Machine Learning
Show steps
Revisando el aprendizaje automático supervisado, reforzarás los conceptos fundamentales necesarios para comprender el servicio de reconocimiento de formularios.
Browse courses on
Supervised Machine Learning
Show steps
Show steps
Show steps
- Revisa los algoritmos de aprendizaje automático supervisado, como la regresión lineal y la clasificación logística.
- Practica la implementación de modelos de aprendizaje automático supervisado utilizando bibliotecas como Scikit-learn o TensorFlow.
Tutoriales guiados sobre Logic Apps
Show steps
Los tutoriales guiados sobre Logic Apps te brindarán las habilidades prácticas necesarias para crear orquestadores automatizados para procesar archivos PDF.
Browse courses on
Logic Apps
Show steps
Show steps
Show steps
- Completa tutoriales en línea o talleres sobre Logic Apps de Microsoft.
- Implementa tus propias Logic Apps para automatizar tareas como el procesamiento y análisis de archivos PDF.
Show all two activities
Career center
Learners who complete Análisis de documentos con servicios cognitivos de Azure will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze data to extract insights for businesses. While a variety of courses, including those on Azure, may be helpful to Data Scientists, this course in particular is a good fit because it focuses on analyzing documents, which is a key skill for professionals in this role. In particular, this course will provide a foundation in using Azure's Form Recognizer to analyze PDFs for data extraction, which is a common task for Data Scientists working with unstructured data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course is a good fit for Machine Learning Engineers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill is increasingly important for Machine Learning Engineers as more and more businesses use unstructured data in their machine learning models.
Business Analyst
Business Analyst
Business Analysts help businesses make better decisions by providing them with insights into their data. This course is a good fit for Business Analysts because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze customer feedback, market research, and other types of unstructured data.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course is a good fit for Data Analysts because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze customer feedback, market research, and other types of unstructured data.
Document Management Analyst
Document Management Analyst
Document Management Analysts help businesses manage their documents more efficiently. This course is a good fit for Document Management Analysts because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze documents for compliance, security, and other purposes.
Information Architect
Information Architect
Information Architects design and manage the structure of information systems. This course is a good fit for Information Architects because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to design and manage information systems that are more efficient and easier to use.
Knowledge Manager
Knowledge Manager
Knowledge Managers create and manage knowledge bases for businesses. This course is a good fit for Knowledge Managers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to create and manage knowledge bases that are more efficient and easier to use.
Digital Asset Manager
Digital Asset Manager
Digital Asset Managers help businesses manage their digital assets more efficiently. This course may be useful for Digital Asset Managers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze digital assets for compliance, security, and other purposes.
Records Manager
Records Manager
Records Managers help businesses manage their records more efficiently. This course may be useful for Records Managers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze records for compliance, security, and other purposes.
Librarian
Librarian
Librarians help people find and access information. This course may be useful for Librarians because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze library materials for cataloging, research, and other purposes.
Technical Writer
Technical Writer
Technical Writers create and manage technical documentation. This course may be useful for Technical Writers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze technical documentation for accuracy, clarity, and other purposes.
Editor
Editor
Editors review and edit written materials. This course may be useful for Editors because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze written materials for accuracy, clarity, and other purposes.
Researcher
Researcher
Researchers conduct research in a variety of fields. This course may be useful for Researchers because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze research materials for research purposes.
Museum curator
Museum curator
Museum Curators manage and preserve museum collections. This course may be useful for Museum Curators because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze museum artifacts for preservation and research purposes.
Archivist
Archivist
Archivists manage and preserve historical records. This course may be useful for Archivists because it provides a foundation in using Azure's Form Recognizer to analyze documents. This skill can be used to analyze historical records for preservation and research purposes.
For more career information including salaries, visit:
OpenCourser.com/course/158jyt/analisis
Reading list
We've selected six 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
Análisis de documentos con servicios cognitivos de Azure.
Provides a comprehensive guide to the image and video processing services offered by Azure Cognitive Services. It covers topics such as object detection, facial recognition, video analytics, and content moderation.
Offers a comprehensive guide to data science using Python, covering data manipulation, visualization, and analysis techniques, providing a valuable resource for implementing the course project in Python.
Provides a hands-on introduction to machine learning using TensorFlow, offering practical guidance for building and training machine learning models, supplementing the course's coverage of machine learning concepts.
Save
Delves into the architectural patterns and best practices for designing and building data-intensive applications, providing valuable insights for managing and processing the data involved in the course project.
Provides a non-technical introduction to data science, covering the fundamental concepts and applications of data mining and data analytics, offering a broader perspective for understanding the role of data in the course project.
This concise book provides a quick overview of machine learning concepts and algorithms, offering a condensed introduction to the field, complementing the course's more in-depth coverage.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/158jyt/analisis
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Effort
60 minutos
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Dirigido a profesionales en el campo de la administración de datos, este curso proporciona conocimientos y habilidades prácticas para analizar documentos utilizando servicios cognitivos de Azure
Brinda una comprensión integral del servicio Form Recognizer de Azure, que permite la extracción eficiente de datos de archivos PDF
Fomenta el desarrollo de habilidades prácticas a través de un proyecto guiado, lo que permite a los participantes aplicar los conceptos aprendidos de inmediato
Requiere conocimientos previos en el uso de aplicaciones lógicas de Azure, lo que puede ser una limitación para algunos participantes
La duración del curso es de solo 1 hora, lo que puede ser insuficiente para cubrir el tema en profundidad
El curso utiliza la versión de 2019 de los servicios cognitivos de Azure, que puede no ser la versión más actualizada
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