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

  • Status: Free Trial

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Image Analysis, Computer Vision, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Python Programming

  • Status: New
    Status: Preview

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing

  • Status: Preview

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

  • Status: Preview

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

  • Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Digital Transformation, Responsible AI, Data Quality, Business Transformation, Applied Machine Learning, Cloud API, Natural Language Processing, Image Analysis

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

  • 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: Preview

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

  • 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

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