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    Results for "natural language processing"

    • Status: Preview
      Preview
      K

      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Statistical Modeling, Vocabulary, Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      179 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Artificial Intelligence in Social Media Analytics

      Skills you'll gain: Machine Learning, Natural Language Processing, Text Mining, Network Analysis, Analytics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Semantic Web, Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      960 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      AI Applications: Computer Vision and Speech Recognition

      Skills you'll gain: Computer Vision, Image Analysis, Natural Language Processing, Visualization (Computer Graphics), Artificial Intelligence, Data Processing, Deep Learning, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Transfer Learning for NLP with TensorFlow Hub

      Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Deep Learning, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      179 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      H2O ai Large Language Models (LLMs) - Level 1

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

      3
      Rating, 3 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      Foundations of Local Large Language models

      Skills you'll gain: Generative AI, Cloud Applications, Application Deployment, Large Language Modeling, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Prompt Engineering, Statistical Programming, Risk Management Framework, Natural Language Processing, Performance Testing, Command-Line Interface, Rust (Programming Language)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Introduction to Transformer Models for NLP

      Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), ChatGPT, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Generative AI, Computer Vision, Image Analysis, OpenAI, Application Deployment, Artificial Neural Networks, Cloud Development, Deep Learning, Restful API, Performance Tuning

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Introduction to Transformer Models for NLP: Unit 1

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Learning Deep Learning: Unit 2

      Skills you'll gain: Large Language Modeling, PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Artificial Neural Networks, Time Series Analysis and Forecasting, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Introduction to Transformer Models for NLP: Unit 2

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Natural Language Processing, Generative AI, OpenAI

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Introduction to Transformer Models for NLP: Unit 3

      Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Generative AI, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Development, Restful API, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

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    1…456…452

    In summary, here are 10 of our most popular natural language processing courses

    • Machine Translation: Karlsruhe Institute of Technology
    • Artificial Intelligence in Social Media Analytics: Johns Hopkins University
    • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
    • AI Applications: Computer Vision and Speech Recognition: Edureka
    • Transfer Learning for NLP with TensorFlow Hub: Coursera Project Network
    • H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
    • Foundations of Local Large Language models: Duke University
    • Introduction to Transformer Models for NLP: Pearson
    • Introduction to Transformer Models for NLP: Unit 1: Pearson
    • Learning Deep Learning: Unit 2: Pearson

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