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"

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    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Network Architecture, Data Processing

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    Skills you'll gain: Dimensionality Reduction, OpenAI, Application Development, Exploratory Data Analysis, Application Programming Interface (API), Text Mining, Python Programming, Data Analysis, Natural Language Processing, Data Manipulation

  • Status: New
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    Skills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Image Analysis, Remote Access Systems, Text Mining, Computer Vision, Natural Language Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Text Mining, Probability Distribution, Data Analysis, Network Analysis, Feature Engineering, Probability, Data Structures, Statistics, Data Visualization, Data Processing, Data Cleansing, Natural Language Processing

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    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, LLM Application

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

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Scalability, Artificial Neural Networks, Regression Analysis, Interoperability

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

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, Text Mining

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