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

    University of Colorado System

    Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing

  • Status: Preview

    Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Time Series Analysis and Forecasting, Algorithms

  • Status: Free Trial

    Skills you'll gain: Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Unstructured Data, Unsupervised Learning, Dimensionality Reduction, Statistical Methods

  • Status: New
    Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Prompt Engineering, LLM Application, Applied Machine Learning, Data Processing

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Data Processing, Text Mining, Pandas (Python Package), Analysis, Big Data, Unstructured Data, Algorithms

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Applied Machine Learning, Deep Learning, Artificial Intelligence, Text Mining, Data Processing

  • Status: Preview

    Northeastern University

    Skills you'll gain: Responsible AI, Data Ethics, Social Determinants Of Health, Psychiatry, Clinical Research Ethics, Health Equity, Mental Health, Artificial Intelligence, Mental Health Diseases and Disorders, Natural Language Processing, Healthcare Ethics, Data Security, Risk Mitigation, Risk Analysis

  • Status: Free Trial

    Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Cleansing, Natural Language Processing, Jupyter, Pandas (Python Package), Scripting, Data Transformation, Data Capture, JSON, Text Mining, Hypertext Markup Language (HTML), Javascript

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Time Series Analysis and Forecasting

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Data Visualization, Large Language Modeling, Text Mining, Scatter Plots, Data Visualization Software, Unstructured Data, Histogram, Data Analysis, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Analytics, Data Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Internet Of Things, Deep Learning

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