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. You will learn how to represent words and text, the use of deep recurrent models for text prediction, and issues that separate NLP from other application domains. This will be reinforced by applying deep learning tools to NLP through examples and practical projects
Course learning outcomes
- Understand the basic concepts and basic algorithms of Natural language processing.
- Use existing natural language processing tools to conduct basic 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.
Availability
Class details
Adelaide City Campus East
Class number 58260
Section LE01
Size 80
Available 80
Class number 58262
Section WS01
Size 40
Available 40
Class number 58261
Section WS02
Size 40
Available 40
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