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"

  • Status: Preview

    Skills you'll gain: Deep Learning, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Network Architecture, Natural Language Processing, Machine Learning Algorithms, Time Series Analysis and Forecasting

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Supervised Learning, Machine Learning, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Data Mining, Mobile Development, Human Computer Interaction, Natural Language Processing

  • Status: Free

    Skills you'll gain: Amazon Web Services, AWS SageMaker, Amazon S3, Natural Language Processing, Text Mining, Unstructured Data, Solution Architecture, Software Architecture

  • Status: New
    Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Text Mining, Data Processing, Data Cleansing, Predictive Modeling, Python Programming, Data Analysis, Analysis, Algorithms, Integrated Development Environments

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Generative Model Architectures, Large Language Modeling, LLM Application, Unstructured Data

  • Status: New
    Status: Preview

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Prompt Engineering, Large Language Modeling, Real Time Data, Deep Learning, Scalability, Responsible AI, Natural Language Processing

  • Skills you'll gain: Application Deployment, Microsoft Azure, Cloud Services, Cloud Development, Natural Language Processing, Web Applications, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, LLM Application, Deep Learning

  • Status: Preview

    Northeastern University

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Intelligence, Business Strategy, Machine Learning, Data-Driven Decision-Making, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing

  • Skills you'll gain: Full-Stack Web Development, Development Environment, Front-End Web Development, React.js, UI Components, OpenAI, Software Development Tools, Back-End Web Development, Web Development, Natural Language Processing, Restful API, Cascading Style Sheets (CSS)

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