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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Find the best NLP course for your goals

  • Status: Free Trial

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Large Language Modeling, OpenAI, Development Environment, Generative AI Agents, Artificial Intelligence, Natural Language Processing, Python Programming, Document Management, Application Development, Image Analysis, Front-End Web Development

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

  • Skills you'll gain: Prompt Engineering, ChatGPT, Patient Communication, Generative AI, LLM Application, Health Technology, Artificial Intelligence, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Machine Learning, Unstructured Data, Data Cleansing, Data Processing, Applied Machine Learning, Deep Learning, Unified Modeling Language, Machine Learning Algorithms

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Microsoft Azure, Artificial Intelligence, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, No-Code Development, Text Mining, Machine Learning, Supervised Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning Methods

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Text Mining, Natural Language Processing, Data Processing, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Unsupervised Learning, Machine Learning Algorithms, Supervised Learning

  • Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Python Programming, Data Processing, Data Cleansing

  • Status: Preview

    Karlsruhe Institute of Technology

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Multilingualism, Machine Learning Algorithms, Vocabulary, Performance Tuning

  • Status: Free

    Skills you'll gain: LLM Application, Generative AI, Natural Language Processing, Multimodal Prompts, Application Deployment, Open Source Technology, Applied Machine Learning, Image Analysis, User Interface (UI), Computer Vision

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