ECS708P/ECS708U Machine Learning

Module code: ECS708P/ECS708U

Credits: 15
Semester: SEM1

The aim of the course is to give you an understanding of machine learning methods, including pattern recognition, clustering and neural networks, and to allow you to apply such methods in a range of areas.

Topics covered will include:

• Introduction to Machine Learning
• Probability and Random Variables
• Neural Networks
• Statistical Inference
• Clustering
• Hidden Markov Models
• Independent Component Analysis Applications

Level: 7