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: Semantic Web, Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Natural Language Processing, Google Cloud Platform, Algorithms, Scalability

  • Skills you'll gain: Cloud Applications, Application Development, Google Cloud Platform, API Gateway, Application Programming Interface (API), Cloud API, Cloud-Based Integration, Serverless Computing, Authentications, OAuth, Identity and Access Management, Secure Coding, Microservices, Node.JS, Restful API, Event-Driven Programming, Authorization (Computing), Natural Language Processing

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

  • Status: Preview

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

  • Status: Free Trial

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

  • Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Jupyter, Machine Learning, Natural Language Processing

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

  • Skills you'll gain: Generative AI, Google Gemini, LLM Application, Cloud Applications, Prompt Engineering, Google Cloud Platform, Application Design, Natural Language Processing

  • Skills you'll gain: Google Gemini, Cloud Development, Google Cloud Platform, Application Development, Software Development Tools, Natural Language Processing

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

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Statistical Methods, Predictive Modeling, Responsible AI, Machine Learning, Data Quality, Natural Language Processing

  • Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Google Cloud Platform, Big Data, Query Languages, Natural Language Processing, Scalability