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"

  • Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)

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    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

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    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Natural Language Processing, LLM Application, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, Debugging, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Decision Support Systems, Performance Tuning

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    Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Prompt Engineering, Artificial Intelligence, Deep Learning, Data Processing

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    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis

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    Saïd Business School, University of Oxford

    Skills you'll gain: FinTech, Financial Inclusion, Financial Services, Responsible AI, Data Ethics, Artificial Intelligence, Mobile Banking, Banking Services, Data Sharing, Financial Systems, Data Governance, Application Programming Interface (API), Financial Data, Financial Regulation, Finance, Artificial Intelligence and Machine Learning (AI/ML), Business Ethics, Innovation, General Data Protection Regulation (GDPR), Natural Language Processing

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