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Axel Sirota
This course will teach you all the NLP techniques in Tensorflow 2 needed to do amazing things like generate text or classify intention.
Read more
This course will teach you all the NLP techniques in Tensorflow 2 needed to do amazing things like generate text or classify intention.
Read more
This course will teach you all the NLP techniques in Tensorflow 2 needed to do amazing things like generate text or classify intention.
Natural language processing is a set of tools that enables us to unlock the power of analyzing text. In this course, TensorFlow Developer Certificate - Natural Language Processing (NLP), you’ll learn how to apply NLP techniques and model them with Tensorflow. First, you’ll explore what word embeddings are and how to predict sentiment. Next, you’ll discover how to do text classification with those embeddings and classify intention out of text. Finally, you’ll learn how to generate text to create a suggestion model like the one in Gmail. When you’re finished with this course, you’ll have the skills and knowledge of NLP with Tensorflow needed to create all sorts of NLP solutions.
Register for this course and see more details by visiting:
OpenCourser.com/course/83ygan/tensorflow
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What's inside
Syllabus
Course Overview
Why Process Text?
Using Word Embeddings
Classifying Intention from Text
Read more
Syllabus
Course Overview
Why Process Text?
Using Word Embeddings
Classifying Intention from Text
Read more
Helping Users with Text Generation
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches NLP techniques in TensorFlow 2, which is used for various natural language processing applications
Taught by Axel Sirota, a recognized expert in natural language processing
Covers essential NLP concepts, such as word embeddings, text classification, and text generation
Provides hands-on experience through practical exercises and projects
Requires some prior knowledge of TensorFlow and Python programming
Save this course
Save TensorFlow Developer Certificate - Natural Language Processing (NLP) 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 TensorFlow Developer Certificate - Natural Language Processing (NLP) with these
activities:
Identify NLP Mentors
Show steps
Seek guidance from experienced NLP professionals to accelerate your progress.
Browse courses on
TensorFlow
Show steps
-
Attend industry events and conferences to connect with potential mentors.
-
Reach out to NLP professionals on LinkedIn or other platforms.
Review Python Programming
Show steps
Solidify your Python skills before starting the course to ensure a smooth transition.
Browse courses on
Python Programming
Show steps
-
Review basic Python concepts such as variables, data types, and control flow.
-
Practice writing Python code to reinforce your understanding.
NLP Discussion Group
Show steps
Engage with peers to discuss NLP concepts, share knowledge, and clarify doubts.
Browse courses on
TensorFlow
Show steps
-
Join or create a discussion group focused on NLP.
-
Participate actively in discussions, sharing your insights and asking questions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
NLP Resources Collection
Show steps
Compile a comprehensive list of NLP resources to support your learning journey.
Browse courses on
TensorFlow
Show steps
-
Gather and organize links to relevant books, articles, and websites on NLP.
-
Create a shareable document or website to make your compilation accessible to others.
NLP Practice Exercises
Show steps
Enhance your NLP skills through dedicated practice to improve comprehension and retention.
Browse courses on
TensorFlow
Show steps
-
Solve coding challenges and exercises related to NLP tasks.
-
Analyze and interpret the results of your NLP models.
Text Classification with Tensorflow
Show steps
Establish a strong foundation in text classification with Tensorflow, a core area in NLP.
Browse courses on
Text Classification
Show steps
-
Identify the required libraries and set up your workspace.
-
Load and preprocess the text data for classification.
-
Train and evaluate a text classification model using Tensorflow.
-
Deploy the trained model for real-world use.
Contribute to NLP Projects
Show steps
Deepen your understanding by actively contributing to open-source NLP projects.
Browse courses on
TensorFlow
Show steps
-
Identify open-source NLP projects that align with your interests.
-
Review the project's documentation and codebase.
-
Identify areas where you can contribute, such as bug fixes or feature enhancements.
-
Submit your contributions to the project.
Text Summarization Tutorial
Show steps
Reinforce your understanding of text summarization by creating a comprehensive tutorial.
Browse courses on
Text Summarization
Show steps
-
Research and gather information on text summarization techniques.
-
Develop a step-by-step guide to implement text summarization using Tensorflow.
-
Create interactive demonstrations or examples to illustrate the concepts.
Identify NLP Mentors
Show steps
Seek guidance from experienced NLP professionals to accelerate your progress.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Attend industry events and conferences to connect with potential mentors.
- Reach out to NLP professionals on LinkedIn or other platforms.
Review Python Programming
Show steps
Solidify your Python skills before starting the course to ensure a smooth transition.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review basic Python concepts such as variables, data types, and control flow.
- Practice writing Python code to reinforce your understanding.
NLP Discussion Group
Show steps
Engage with peers to discuss NLP concepts, share knowledge, and clarify doubts.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Join or create a discussion group focused on NLP.
- Participate actively in discussions, sharing your insights and asking questions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
NLP Resources Collection
Show steps
Compile a comprehensive list of NLP resources to support your learning journey.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Gather and organize links to relevant books, articles, and websites on NLP.
- Create a shareable document or website to make your compilation accessible to others.
NLP Practice Exercises
Show steps
Enhance your NLP skills through dedicated practice to improve comprehension and retention.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Solve coding challenges and exercises related to NLP tasks.
- Analyze and interpret the results of your NLP models.
Text Classification with Tensorflow
Show steps
Establish a strong foundation in text classification with Tensorflow, a core area in NLP.
Browse courses on
Text Classification
Show steps
Show steps
Show steps
- Identify the required libraries and set up your workspace.
- Load and preprocess the text data for classification.
- Train and evaluate a text classification model using Tensorflow.
- Deploy the trained model for real-world use.
Contribute to NLP Projects
Show steps
Deepen your understanding by actively contributing to open-source NLP projects.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Identify open-source NLP projects that align with your interests.
- Review the project's documentation and codebase.
- Identify areas where you can contribute, such as bug fixes or feature enhancements.
- Submit your contributions to the project.
Text Summarization Tutorial
Show steps
Reinforce your understanding of text summarization by creating a comprehensive tutorial.
Browse courses on
Text Summarization
Show steps
Show steps
Show steps
- Research and gather information on text summarization techniques.
- Develop a step-by-step guide to implement text summarization using Tensorflow.
- Create interactive demonstrations or examples to illustrate the concepts.
Career center
Learners who complete TensorFlow Developer Certificate - Natural Language Processing (NLP) will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer works on developing and deploying NLP models for production use. These models can be used for a variety of tasks, such as text classification, sentiment analysis, and machine translation.
This course will provide you with the skills and knowledge needed to work as a Natural Language Processing Engineer. You will learn how to use TensorFlow to develop and deploy NLP models, and you will gain experience with a variety of NLP tasks.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. These models can be used for a variety of tasks, such as image recognition, natural language processing, and predictive analytics.
This course will provide you with the skills and knowledge needed to work as a Machine Learning Engineer. You will learn how to use TensorFlow to develop and deploy machine learning models, and you will gain experience with a variety of machine learning tasks.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make informed decisions. They work with a variety of data sources, such as structured data, unstructured data, and streaming data.
This course will provide you with the skills and knowledge needed to work as a Data Scientist. You will learn how to use TensorFlow to process and analyze data, and you will gain experience with a variety of data science techniques.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software applications. They work with a variety of programming languages and technologies, and they may specialize in a particular area, such as web development, mobile development, or data science.
This course may be useful for Software Engineers who want to learn how to use TensorFlow to develop NLP applications.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, such as engineers, designers, and marketers, to ensure that products meet the needs of customers.
This course may be useful for Product Managers who want to learn how to use NLP to improve the user experience of their products.
Business Analyst
Business Analyst
Business Analysts gather and analyze data to help businesses make informed decisions. They work with a variety of stakeholders, such as executives, managers, and employees, to identify and solve business problems.
This course may be useful for Business Analysts who want to learn how to use NLP to analyze text data.
Technical Writer
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They work with a variety of stakeholders, such as engineers, designers, and marketers, to ensure that documentation is accurate, clear, and concise.
This course may be useful for Technical Writers who want to learn how to use NLP to automate the creation of documentation.
Marketer
Marketer
Marketers develop and execute marketing campaigns to promote products and services. They work with a variety of media, such as print, digital, and social media, to reach target audiences.
This course may be useful for Marketers who want to learn how to use NLP to analyze customer feedback and improve marketing campaigns.
Customer Success Manager
Customer Success Manager
Customer Success Managers work with customers to ensure that they are satisfied with a company's products and services. They work with a variety of stakeholders, such as sales, support, and engineering, to resolve customer issues and improve the customer experience.
This course may be useful for Customer Success Managers who want to learn how to use NLP to analyze customer feedback and improve the customer experience.
Sales Engineer
Sales Engineer
Sales Engineers work with customers to identify and solve technical problems. They work with a variety of stakeholders, such as sales, marketing, and engineering, to ensure that customers are satisfied with a company's products and services.
This course may be useful for Sales Engineers who want to learn how to use NLP to analyze customer feedback and improve the sales process.
Support Engineer
Support Engineer
Support Engineers work with customers to resolve technical issues. They work with a variety of stakeholders, such as sales, marketing, and engineering, to ensure that customers are satisfied with a company's products and services.
This course may be useful for Support Engineers who want to learn how to use NLP to analyze customer feedback and improve the support process.
Consultant
Consultant
Consultants provide advice and expertise to businesses on a variety of topics, such as strategy, marketing, and operations. They work with a variety of stakeholders, such as executives, managers, and employees, to help businesses achieve their goals.
This course may be useful for Consultants who want to learn how to use NLP to analyze data and provide insights to businesses.
Teacher
Teacher
Teachers educate students in a variety of subjects, such as math, science, and language arts. They work with students of all ages, from kindergarten through college.
This course may be useful for Teachers who want to learn how to use NLP to improve the learning experience for students.
Librarian
Librarian
Librarians help people find and access information. They work in a variety of settings, such as public libraries, school libraries, and academic libraries.
This course may be useful for Librarians who want to learn how to use NLP to improve the organization and accessibility of information.
Archivist
Archivist
Archivists preserve and manage historical records. They work in a variety of settings, such as museums, libraries, and government agencies.
This course may be useful for Archivists who want to learn how to use NLP to analyze and preserve historical texts.
For more career information including salaries, visit:
OpenCourser.com/course/83ygan/tensorflow
Reading list
We've selected eight 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
TensorFlow Developer Certificate - Natural Language Processing (NLP).
Offers a practical guide to NLP with a focus on real-world applications, providing valuable insights for building NLP solutions.
Save
Provides a practical guide to text mining using R, offering valuable insights for extracting insights from text data.
This comprehensive textbook provides a thorough overview of NLP, including speech processing and language modeling.
Provides a comprehensive overview of information retrieval techniques, including text processing, indexing, and retrieval models.
Offers a theoretical foundation in statistical NLP, providing a comprehensive understanding of the probabilistic models used in the field.
Provides a comprehensive overview of neural networks for NLP, covering a wide range of architectures and applications.
Provides a practical guide to NLP using Python, offering valuable insights for building and deploying NLP solutions.
Provides a comprehensive overview of NLP techniques, offering insights into their applications in various domains.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/83ygan/tensorflow
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Time
131 hours
Level
Intermediate
Via
Pluralsight
Instructor
Axel Sirota
Language
English
Good to know
Teaches NLP techniques in TensorFlow 2, which is used for various natural language processing applications
Taught by Axel Sirota, a recognized expert in natural language processing
Covers essential NLP concepts, such as word embeddings, text classification, and text generation
Provides hands-on experience through practical exercises and projects
Requires some prior knowledge of TensorFlow and Python programming
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