Date/Time
Date(s) - 18/11/2024
3:30 pm - 4:30 pm

Location: Hamilton Hall, Room 302

Speaker: Conor McCoid (McMaster University)

Title: Mozart Ex Machina: A toy example of an artificial neural network

Abstract: Machine learning is a major new forefront in mathematics. Motivated to learn more on the topic and to prototype new ideas, I developed a small research project to construct simple neural networks out of publicly available data. The first stage of this project uses the music of Wolfgang Amadeus Mozart to build a random forest classifier. This talk explores the steps I took to code this classifier, some of the theory behind random forest models, and the hurdles that I needed to overcome. The talk is intended to be introductory, with no background knowledge assumed. If you would like to code along with me, you will need Python as well as the libraries scikit-learn and music21 and the files downloaded from http://www.piano-midi.de/mozart.htm.