Machine Learning Lunches

We run a monthly lunch seminar we introductory talks on different machine learning algorithms as well as talks on applications. Here we provide download links to all talks.

K-means Clustering

This is an introductory talk on K-means clustering.

Random Forests

An Introduction to supervised learning using Random Forests

Metrics

An introduction to different metrics

Neural Networks

An introduction to neural networks

PCA

An introduction to principal component analysis

t-SNE

An introduction to t-distributed Stochastic Neighbour Embedding

Supervised Learning and adverts

Can we tell what an advert is about based on its audio?

Investigating Cosmic Magnetism with Convolutional Neural Networks

Training CNNs for identifying features in faraday spectra

CNNs and Radio Galaxy Morphology

From identifying handwritten digits (MNIST) to classifying radio galaxy FR morphology