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Results for "natural language processing"
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Python Programming, Applied Machine Learning, Supervised Learning, Machine Learning
- Status: Preview
Karlsruhe Institute of Technology
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
- Status: Preview
Duke University
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)
- Status: Free Trial
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
- Status: Free Trial
University of Illinois Urbana-Champaign
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
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative AI, Semantic Web, Deep Learning, Artificial Intelligence
- Status: NewStatus: Free Trial
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
- Status: NewStatus: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Natural Language Processing, Generative AI, OpenAI
- Status: NewStatus: Free Trial
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
- Status: NewStatus: Free Trial
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
- Status: New
Skills you'll gain: Large Language Modeling, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Python Programming, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Jupyter, Unsupervised Learning
Searches related to natural language processing
In summary, here are 10 of our most popular natural language processing courses
- NLP: Twitter Sentiment Analysis: Coursera Project Network
- Machine Translation: Karlsruhe Institute of Technology
- Foundations of Local Large Language models: Duke University
- H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
- Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
- Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
- Introduction to Transformer Models for NLP: Pearson
- Introduction to Transformer Models for NLP: Unit 1: Pearson
- Introduction to Transformer Models for NLP: Unit 2: Pearson
- Learning Deep Learning: Unit 2: Pearson