Natural Language Processing

Natural Language Processing (NLP) is an interdisciplinary field combining computer science, artificial intelligence and linguistics, aimed at enabling computers to understand, interpret, and generate human language. Coursera's NLP catalogue teaches you about the theoretical foundations and practical applications of NLP. You'll learn to develop systems for tasks such as text classification, machine translation, sentiment analysis, and speech recognition. You'll also gain a comprehensive understanding of various NLP algorithms, techniques for semantic analysis, and the use of machine learning and deep learning in NLP. By mastering these skills, you'll be prepared to create intelligent systems that can interact and interpret human language effectively.
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Results for "natural language processing"

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Artificial Intelligence, Machine Learning, Regression Analysis, Probability & Statistics, Image Analysis, Data Ethics, Computer Vision, Linear Algebra, Responsible AI, Embedded Systems, Natural Language Processing, Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Probability

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Computer Vision, Reinforcement Learning, Dimensionality Reduction, Continuous Integration, Natural Language Processing, Deep Learning, Project Closure, Artificial Intelligence, Biomedical Engineering, Game Theory, Machine Learning, CI/CD, Probability & Statistics, Data Ethics, Technical Communication

  • Skills you'll gain: Virtual Reality, Human Computer Interaction, Full-Stack Web Development, Mobile Development, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Game Design, Git (Version Control System), Web Applications, Incident Response, Data Science, Graph Theory, Natural Language Processing, Computational Logic, Unsupervised Learning, Database Design, Web Development, Generative AI

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