5 Lectures on Pattern Processing and Machine Learning

University of Cambridge

Lecture Notes:

- Lecture 1: Introduction

- Lecture 2: Regression

- Lecture 3: Classification

- Lecture 4: Clustering

- Lecture 5: Dimensionality Reduction

- 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 4F10: Statistical Pattern Processing and 4F13: Machine Learning modules.