Lectures: Tuesdays 12:30-14:30
Tutorials: Tuesdays 15:30-16:30 (infrequent)
Pre-requisites: Intro. to AI (cs236501)
Credit points: 3.0
Course will cover:
- Supervised learning (definitions, decision trees, kNN, Bayesian methods, linear separators)
- Boosting
- Active Learning
- Feature selection\generation
- Learning for improving problem solvers
- Reinforcement learning
- Genetic algorithms
See course syllabus for further information.
Tutorials: Tuesdays 15:30-16:30 (infrequent)
Pre-requisites: Intro. to AI (cs236501)
Credit points: 3.0
Course will cover:
- Supervised learning (definitions, decision trees, kNN, Bayesian methods, linear separators)
- Boosting
- Active Learning
- Feature selection\generation
- Learning for improving problem solvers
- Reinforcement learning
- Genetic algorithms
See course syllabus for further information.