Course Summary
The Natural Language Processing Nanodegree program is designed to give learners the skills required to become an NLP Engineer. This program is perfect for anyone who wants to learn how to build models that can process and make meaning of complex human language data.Key Learning Points
- Learn how to build models that can process and make meaning of complex human language data
- Get hands-on experience working with advanced NLP tools and techniques
- Develop a portfolio of projects showcasing your NLP skills
Related Topics for further study
Learning Outcomes
- Understand the fundamentals of Natural Language Processing
- Gain hands-on experience with advanced NLP tools and techniques
- Develop a portfolio of projects showcasing your NLP skills
Prerequisites or good to have knowledge before taking this course
- Intermediate Python programming skills
- Basic knowledge of machine learning concepts
Course Difficulty Level
IntermediateCourse Format
- Online self-paced learning
- Hands-on projects
- Interactive quizzes
- Peer-reviewed projects
Similar Courses
- Deep Learning Nanodegree
- Artificial Intelligence for Trading Nanodegree
- Machine Learning Engineer Nanodegree
Related Education Paths
Notable People in This Field
- Yoav Goldberg
- Emily Bender
- Dan Jurafsky
Related Books
Description
Learn the skills to get computers to understand, process, and respond to human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.Knowledge
- In this program, you’ll develop and refine specialized skills in natural language processing and voice user interfaces. The curriculum is not designed to prepare you for a specific job; instead, the goal is that you’ll expand your skills in the natural language processing domain. Growth predictions are extremely high for this market, and having these in-demand skills will significantly enhance your ability to advance your AI career.
Outline
- Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more! Work on a variety of natural language processing techniques. Build models using probabilistic and deep learning techniques and apply them to speech recognition, machine translation, and more!
Summary of User Reviews
The Natural Language Processing Nanodegree course has received positive reviews from many users. The course covers various aspects of natural language processing and provides hands-on experience to students. Users have appreciated the real-world projects that help to apply the concepts learned during the course.Key Aspect Users Liked About This Course
Real-world projects that help to apply the concepts learned during the coursePros from User Reviews
- Hands-on experience in natural language processing
- Thorough coverage of various aspects of NLP
- Real-world projects that are relevant and interesting
- Great instructors who are knowledgeable and helpful
Cons from User Reviews
- Some users found the course to be too challenging
- The pace of the course may be too fast for some learners
- Not suitable for beginners without prior programming experience
- Some users reported technical issues with the course content
- The course may be too expensive for some learners
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