Course overview
This course examines machine learning techniques that obtain leading results on the problem of natural language processing (NLP). NLP is a critical step towards effective communication between people and machines. The course teaches how to represent words and text and use both classical and modern machine learning models and Generative AI for text understanding, prediction and generation. This will be reinforced by applying NLP tools to solve practical problems through examples, workshops and projects.
Course learning outcomes
- Explain basic concepts and apply basic algorithms of Natural language processing
- Use existing tools to conduct natural language processing, such as text normalization, named entity extraction, or syntactic parsing
- Use machine learning tools to build solutions for natural language processing problems
- Decompose a real-world problem into subproblems in natural language processing and identify potential solutions