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  • Named Entity Recognition

Results for "named-entity recognition"


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Information Extraction in Python

    Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation

    Advanced · Course · 1 - 4 Weeks

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Embeddings, Generative AI, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning

    Intermediate · Course · 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), Transfer Learning, Natural Language Processing, Large Language Modeling, Generative Model Architectures, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Entity Framework Core - A Full Tour

    Skills you'll gain: Stored Procedure, Object-Relational Mapping, Microsoft SQL Servers, SQL, Database Management, Relational Databases, .NET Framework, Query Languages, Databases, ASP.NET, Data Modeling, C# (Programming Language), Data Integrity, Performance Tuning, Data Migration, Microsoft Visual Studio

    Intermediate · Course · 1 - 3 Months

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Clinical Natural Language Processing

    Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, Clinical Data Management, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Harnessing LLMs & Text-Embeddings API with Google Vertex AI

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Google Cloud Platform, Embeddings, Cloud API, Application Programming Interface (API), Vector Databases, Unsupervised Learning, Interactive Data Visualization, Natural Language Processing, Classification Algorithms, Data Processing, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Embeddings & Text Preprocessing in Python

    Skills you'll gain: Data Preprocessing, Embeddings, Text Mining, Data Processing, Multilingualism, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Scikit Learn (Machine Learning Library), Computer Programming, Software Installation

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular named-entity recognition courses

  • Applied Information Extraction in Python: University of Michigan
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • RNN Architecture and Sentiment Classification: Packt
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Entity Framework Core - A Full Tour: Packt
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Clinical Natural Language Processing: University of Colorado System

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