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

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    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Feature Engineering

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    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Generative AI, Responsible AI, LLM Application, Big Data, Data Analysis, Data Science, Natural Language Processing, Market Opportunities, Business

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    Skills you'll gain: Responsible AI, LLM Application, Prompt Patterns, Generative Model Architectures, Regulatory Compliance, AI Product Strategy, Organizational Structure, Stakeholder Management, Deep Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning

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    University of Michigan

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

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    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods, Deep Learning, Natural Language Processing

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    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Product Strategy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Deep Learning, Data Visualization Software, Machine Learning, Natural Language Processing

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    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, AI Product Strategy, Natural Language Processing, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Software Architecture

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    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Text Mining, Machine Learning Methods, Forecasting, Data Processing, Machine Learning, Supervised Learning

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    Status: AI skills

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Reinforcement Learning, Deep Learning, Unsupervised Learning, Machine Learning Methods, Generative AI, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Natural Language Processing, Data Pipelines, Predictive Modeling, Machine Learning Algorithms, Probability & Statistics

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Anomaly Detection, Analytics

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