Welcome to the Advanced NLP course! This course is designed for those who have a basic understanding of Natural Language Processing and want to take their knowledge to the next level.

Course Outline

  • Introduction to Advanced NLP

    • Overview of advanced NLP techniques
    • Key concepts and terminology

  • Deep Learning for NLP

    • Introduction to neural networks
    • Recurrent Neural Networks (RNNs)
    • Long Short-Term Memory (LSTM) networks

  • Sequence Modeling

    • Hidden Markov Models (HMMs)
    • Conditional Random Fields (CRFs)
    • Transforming Auto-Regressive Networks (TANs)

  • Text Generation

    • Rule-based approaches
    • Statistical models
    • Deep learning-based text generation

  • Sentiment Analysis

    • Traditional approaches
    • Deep learning-based sentiment analysis

  • Machine Translation

    • Rule-based machine translation
    • Statistical machine translation
    • Neural machine translation

  • Practical Applications

    • Chatbots
    • Voice assistants
    • Text summarization

Course Resources

For further reading, you can visit our Introduction to NLP course.

Here's an example of a neural network in action:

Neural Network

Conclusion

This advanced NLP course will provide you with the knowledge and skills to tackle complex NLP tasks. Don't miss out on this opportunity to enhance your NLP expertise!