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

  • Skills you'll gain: Natural Language Processing, Text Mining, Google Cloud Platform, Cloud API, Unstructured Data, Network Analysis, Data Analysis, Analysis

  • Status: Free Trial

    Skills you'll gain: LLM Application, Large Language Modeling, Generative Model Architectures, Natural Language Processing, Open Source Technology, Prompt Engineering, Containerization, Application Deployment, Application Programming Interface (API), Machine Learning

  • 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

    University of Michigan

    Skills you'll gain: ChatGPT, Large Language Modeling, Natural Language Processing, Data Ethics, Responsible AI, Generative AI, Artificial Intelligence, Law, Regulation, and Compliance, Education and Training, Economics, Social Sciences

  • Status: New
    Status: Preview

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

  • Status: Free

    Skills you'll gain: Amazon Web Services, AWS SageMaker, Amazon S3, Natural Language Processing, Text Mining, Unstructured Data, Solution Architecture, Software Architecture

  • Status: New
    Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Text Mining, Data Processing, Data Cleansing, Predictive Modeling, Python Programming, Data Analysis, Analysis, Algorithms, Integrated Development Environments

  • Status: New
    Status: Free Trial

    Skills you'll gain: LLM Application, LangChain, Large Language Modeling, ChatGPT, Generative AI, Prompt Engineering, Text Mining, Natural Language Processing, Benchmarking, Performance Testing

  • 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: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging

  • 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: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis

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