Symbols, Patterns and Signals

Course Notes, Charlie Harding, 2018

These are my notes from the 2018 Symbols, Patterns and Signals course at the University of Bristol. Feel free to correct them with issues/pull requests.

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Contents

1. Intro

Part A

1. Data types
2. Data acquisition
3. Distance
4. Classifying data
5. Deterministic data modelling
6. Probabilistic data modelling
7. Maximum Likelihood and Maximum a Posteriori estimation

Part B

1. Classification
2. Decision Trees
3. Nearest Neighbour
4. Clustering: k-means
5. Hierarchical Clustering
6. Gaussian Mixture Models
7. Evaluating classifiers