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"

  • 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: 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: Responsible AI, Information Privacy, Generative AI, Data Ethics, Cloud Security, Personally Identifiable Information, Data Security, Google Cloud Platform, Artificial Intelligence, Safety and Security, 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: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing

  • 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

  • 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

  • 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

  • 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

  • Status: New

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

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