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: Extensible Markup Language (XML), Natural Language Processing, Language Interpretation, Translation, and Studies, Multilingualism, Unstructured Data, Data Analysis Software, Data Quality, Machine Learning Methods, Statistical Machine Learning

  • Status: Free Trial

    Skills you'll gain: Microsoft Copilot, Natural Language Processing, Data Storytelling, Technical Communication, Data Visualization, Data-Driven Decision-Making, Interactive Data Visualization, Generative AI, Data Visualization Software, Data Analysis, Strategic Communication, Communication, Big Data, Responsible AI, Artificial Intelligence, Presentations, Advanced Analytics

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Architecture, Machine Learning

  • 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: Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Data Science, Machine Learning

  • Skills you'll gain: Applied Machine Learning, Cloud API, Natural Language Processing, Text Mining, Image Analysis, Cloud-Based Integration, Computer Vision, Network Analysis, Web Design

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

  • Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Data Transformation, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Natural Language Processing, Reinforcement Learning, Performance Tuning

  • Status: Free Trial

    Universidad Austral

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Text Mining, Unsupervised Learning, Algorithms, Supervised Learning