3F3: Signal and Pattern Processing

Zoubin Ghahramani
4 Lectures on Pattern Processing

Lecture Notes:

• Lecture 1: Introduction
  
• Lecture 2: Regression
  
• Lecture 3: Classification
  
• Lecture 4: Clustering
  

• Example Exam Question
• Other Questions for Study

• Online Linear Logistic Classification: lrdemo.m
• Online Non-linear Logistic Classification: nlrdemo.m
• K-means Clustering: kmeansdemo.m
• Iris Data: iris.data (needed for K-means demo)

If you are interested in this topic, you may want to look at my 'Unsupervised Learning' course web site at UCL, or take my new module called 'Machine Learning' at Cambridge (starting probably Michaelmas = Fall 2006).