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Nestor Nicolas Campos Rojas
Al completar este proyecto de 1 hora de duración, entenderás y podrás desarrollar tus propios modelos de lenguaje natural con Python, usando una de las librerías más populares para ello, Spacy, a partir de un conjunto de datos definidos, y entender las ventajas y qué otras acciones podemos hacer con esta librería.
Register for this course and see more details by visiting:
OpenCourser.com/course/4ki8ck/creando
What's inside
Syllabus
Creando un modelo de lenguaje natural con Spacy
En este proyecto, tú podrás implementar un pequeño modelo de lenguaje natural para temas de aprendizaje de máquina, usando la popular librería Spacy con lenguaje Python.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a perfect stepping-stone into the world of Natural Language Processing
Ideal for aspiring data scientists and NLP enthusiasts
Introduces the widely used Spacy library, a must-have tool in NLP
Taught by experienced professionals in the field, ensuring up-to-date knowledge and practical insights
Suitable for beginners with basic knowledge of Python, making it accessible to a wider audience
Provides hands-on experience through a mini project, fostering practical application of concepts
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Save Creando un modelo de lenguaje natural con Spacy to your list so you can find it easily later:
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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 Creando un modelo de lenguaje natural con Spacy with these
activities:
Review Python programming fundamentals
Show steps
Ensure a solid foundation in Python programming for effective implementation of NLP models.
Browse courses on
Python Programming
Show steps
-
Review basic Python syntax and data structures
-
Complete practice exercises to reinforce your understanding
-
Familiarize yourself with Python libraries commonly used in NLP, such as NumPy and Pandas
Review general NLP concepts
Show steps
Reinforce your foundational understanding of NLP concepts to enhance your ability to grasp the course material.
Browse courses on
Natural Language Processing
Show steps
-
Read introductory articles or book chapters on NLP
-
Review lecture notes or online resources on basic NLP techniques
-
Complete practice exercises to test your understanding of core NLP concepts
Work through Spacy tutorial exercises
Show steps
Develop practical proficiency in using Spacy by completing guided exercises.
Browse courses on
spaCy
Show steps
-
Follow the Spacy tutorial documentation
-
Complete practice exercises provided in the tutorial
-
Experiment with different Spacy features and functions
Two other activities
Expand to see all activities and additional details
Show all five activities
Participate in discussion forums
Show steps
Engage with peers to exchange knowledge, clarify concepts, and share insights.
Show steps
-
Join and actively participate in discussion forums related to the course
-
Contribute thoughtful questions and responses
-
Seek clarification and provide assistance to other participants
Attend an NLP workshop or conference
Show steps
Enhance your knowledge and skills by participating in a specialized NLP event.
Show steps
-
Identify and register for an NLP workshop or conference
-
Attend sessions and actively participate in discussions
-
Connect with experts and fellow practitioners in the field
Review Python programming fundamentals
Show steps
Ensure a solid foundation in Python programming for effective implementation of NLP models.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review basic Python syntax and data structures
- Complete practice exercises to reinforce your understanding
- Familiarize yourself with Python libraries commonly used in NLP, such as NumPy and Pandas
Review general NLP concepts
Show steps
Reinforce your foundational understanding of NLP concepts to enhance your ability to grasp the course material.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Read introductory articles or book chapters on NLP
- Review lecture notes or online resources on basic NLP techniques
- Complete practice exercises to test your understanding of core NLP concepts
Work through Spacy tutorial exercises
Show steps
Develop practical proficiency in using Spacy by completing guided exercises.
Browse courses on
spaCy
Show steps
Show steps
Show steps
- Follow the Spacy tutorial documentation
- Complete practice exercises provided in the tutorial
- Experiment with different Spacy features and functions
Two other activities
Expand to see all activities and additional details
Show all five activities
Participate in discussion forums
Show steps
Engage with peers to exchange knowledge, clarify concepts, and share insights.
Show steps
Show steps
Show steps
- Join and actively participate in discussion forums related to the course
- Contribute thoughtful questions and responses
- Seek clarification and provide assistance to other participants
Attend an NLP workshop or conference
Show steps
Enhance your knowledge and skills by participating in a specialized NLP event.
Show steps
Show steps
Show steps
- Identify and register for an NLP workshop or conference
- Attend sessions and actively participate in discussions
- Connect with experts and fellow practitioners in the field
Career center
Learners who complete Creando un modelo de lenguaje natural con Spacy will develop knowledge and skills
that may be useful to these careers:
Language Processing Engineer
Language Processing Engineer
Natural language processing is essential for developing many machine learning models, including those used for language translation, question answering, and text summarization. In this course, you will receive hands-on training through an example of building a machine learning model for language processing. This course can help you to build a foundation in this area. Given that this course teaches the Python programming language, it can also provide you with the skills needed for this role.
Machine Learning Engineer
Machine Learning Engineer
Machine learning engineers use their knowledge of natural language processing to design, build, and maintain models for a variety of applications. This course will provide you with the foundation you need to get started in this field. You will learn the basics of natural language processing, as well as the Python programming language, which is commonly used for machine learning.
Data Scientist
Data Scientist
Data scientists use their knowledge of natural language processing to extract insights from data. This course will provide you with the foundation you need to get started in this field. You will learn the basics of natural language processing, as well as the Python programming language, which is commonly used for data science.
Computational Linguist
Computational Linguist
Computational linguists use their knowledge of natural language processing to design, build, and maintain computer systems that can understand and generate human language. This course will provide you with the foundation you need to get started in this field. You will learn the basics of natural language processing, as well as the Python programming language, which is commonly used for computational linguistics.
Natural Language Processing Researcher
Natural Language Processing Researcher
Natural language processing researchers develop new methods for understanding and generating human language. This course will provide you with the foundation you need to get started in this field. You will learn the basics of natural language processing, as well as the Python programming language, which is commonly used for natural language processing research.
Software Engineer
Software Engineer
Software engineers with a focus on natural language processing can work in various industries, such as AI, healthcare, and finance. This course will give you the skills necessary to understand and develop natural language processing applications. In particular, you will learn about the spaCy library, which is commonly used for natural language processing tasks.
Market Researcher
Market Researcher
Market researchers who understand natural language processing can conduct better market research that provides more insights into consumer behavior. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to market research.
Information Architect
Information Architect
Information architects who understand natural language processing can create better information architectures for websites and other digital products. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to information architecture.
Content Strategist
Content Strategist
Content strategists who understand natural language processing can create better content that meets the needs of users. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to content strategy.
Digital Marketing Manager
Digital Marketing Manager
Digital marketing managers who understand natural language processing can create better digital marketing campaigns that reach the right audience. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to digital marketing.
User Experience Researcher
User Experience Researcher
User experience researchers who understand natural language processing can design better user experiences for products and services. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to user experience research.
Search Engine Optimization (SEO) Specialist
Search Engine Optimization (SEO) Specialist
SEO specialists who understand natural language processing can improve the ranking of websites in search engine results pages (SERPs). This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to SEO.
Business Analyst
Business Analyst
Business analysts who understand natural language processing can help businesses make better decisions by providing them with insights into data. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to business analysis.
Technical Writer
Technical Writer
Technical writers who understand natural language processing can create documentation that is clear and easy to understand. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to technical writing.
Product Manager
Product Manager
Product managers who understand natural language processing can build better products that meet the needs of users. This course will give you the foundation you need to understand the basics of natural language processing and how it can be applied to product development.
For more career information including salaries, visit:
OpenCourser.com/course/4ki8ck/creando
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
Creando un modelo de lenguaje natural con Spacy.
Este libro proporciona una introducción a los métodos de redes neuronales en el PNL, que cubre todos los aspectos, desde los conceptos básicos hasta las técnicas avanzadas. Es un recurso valioso para cualquier persona que quiera aprender sobre métodos de redes neuronales en el PNL.
Este libro proporciona una introducción completa al procesamiento del lenguaje natural, que cubre todos los aspectos, desde los conceptos básicos hasta las técnicas avanzadas. Es un recurso valioso para cualquier persona que quiera aprender sobre PNL.
Este libro proporciona una introducción completa al procesamiento estadístico del lenguaje natural, que cubre todos los aspectos, desde los conceptos básicos hasta las técnicas avanzadas. Es un recurso valioso para cualquier persona que quiera aprender sobre el procesamiento estadístico del lenguaje natural.
Este libro proporciona una introducción completa a la comprensión del lenguaje natural, que cubre todos los aspectos, desde los conceptos básicos hasta las técnicas avanzadas. Es un recurso valioso para cualquier persona que quiera aprender sobre comprensión del lenguaje natural.
Este libro es un recurso completo para el procesamiento del lenguaje natural con Python, que cubre una amplia gama de temas, desde el procesamiento básico del texto hasta técnicas avanzadas como el análisis de sentimientos y la generación de lenguaje.
Este libro proporciona una introducción práctica al aprendizaje automático para el procesamiento de texto. Cubre los fundamentos del aprendizaje automático y cómo utilizarlo para una variedad de tareas de procesamiento de texto.
Este libro proporciona una introducción completa a la minería de texto, que cubre todos los aspectos, desde los conceptos básicos hasta las técnicas avanzadas. Es un recurso valioso para cualquier persona que quiera aprender sobre minería de texto.
Este libro proporciona una introducción completa al procesamiento del habla y el lenguaje, que cubre todos los aspectos, desde los conceptos básicos hasta las técnicas avanzadas. Es un recurso valioso para cualquier persona que quiera aprender sobre el procesamiento del habla y el lenguaje.
Este libro proporciona una introducción a la lingüística computacional, que cubre los conceptos básicos y las técnicas más importantes. Es un recurso valioso para cualquier persona que quiera aprender sobre lingüística computacional.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4ki8ck/creando
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Effort
1 hora
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Provides a perfect stepping-stone into the world of Natural Language Processing
Ideal for aspiring data scientists and NLP enthusiasts
Introduces the widely used Spacy library, a must-have tool in NLP
Taught by experienced professionals in the field, ensuring up-to-date knowledge and practical insights
Suitable for beginners with basic knowledge of Python, making it accessible to a wider audience
Provides hands-on experience through a mini project, fostering practical application of concepts
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