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: Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, Natural Language Processing, Artificial Neural Networks, Machine Learning Methods

  • Status: Preview

    Skills you'll gain: Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning

  • Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Tensorflow, Prompt Engineering, Artificial Intelligence, Machine Learning, Cloud Infrastructure, Data Processing, Feature Engineering

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Machine Learning Methods, Deep Learning, Natural Language Processing

  • Skills you'll gain: Large Language Modeling, Semantic Web, Generative AI, Artificial Intelligence, Google Cloud Platform, Applied Machine Learning, Natural Language Processing, Algorithms

  • Skills you'll gain: Large Language Modeling, Natural Language Processing, Artificial Neural Networks, Network Model

  • Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

  • Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing