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 CSE5230: Lectures

Lecture Material

 

PowerPoint

Adobe Acrobat PDF

Postscript

Week 1: Unit Outline and Introduction

Lecture 1

Lecture 1

Lecture 1

Week 2: Market Basket Analysis; Intro. to Machine Learning

Lecture 2

Lecture 2

Lecture 2

Week 3: Preprocessing for Data Mining

Lecture 3

Lecture 3

Lecture 3

Week 4: Data Mining and Statistics; Clustering Techniques

Lecture 4

Lecture 4

Lecture 4

Week 5: Neural Networks 1: Feedforward Neural Networks

Lecture 5

Lecture 5

Lecture 5

Week 6: Neural Networks 2: Self-Organizing Maps

Lecture 6

Lecture 6

Lecture 6

Week 7: Decision Trees

Lecture 7

Lecture 7

Lecture 7

Week 8: Information Visualization

Lecture 8

Lecture 8

Lecture 8

Week 9: Bayesian Classification and Bayesian Networks

Lecture 9

Lecture 9

Lecture 9

Week 10: Hidden Markov Models

Lecture 10

Lecture 10

Lecture 10

 

 

 

 

 

 

 

 

 

If you have any problems with downloading the lectures, please email David.Squire@csse.monash.edu.au