# CAB420 - Machine Learning

## Dr Simon Denman

### Semester 1, 2024

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## Downloads

Lecture notes download: [CAB420 Lecture Notes PDF](https://www.github.com/Tarang74/CAB420/raw/main/CAB420%20Lecture%20Notes.pdf)

Exam notes download: [CAB420 Exam Notes PDF](https://www.github.com/Tarang74/CAB420/raw/main/CAB420%20Exam%20Notes.pdf)

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This repository provides **lecture notes** and **exam notes** for **CAB420 - Machine Learning**.

*The contents of the lecture notes are described below.*

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## Contents

1. Introduction
2. Linear Regression
3. Regularisation
4. Classification
5. Feedforward Neural Networks
6. Training Neural Networks
7. Optimisation Algorithms and Regularisation
8. Convolutional Neural Networks
9. Clustering
10. Dimensionality Reduction
11. Autoencoders
12. Sequences and Attention Mechanisms
13. Numerical Summaries of Data

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[![license](https://forthebadge.com/images/badges/cc-nc-sa.svg)](http://creativecommons.org/licenses/by-nc-sa/4.0/)

This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).


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