Speaker
Jorge Quintanilla
(University of Kent)
Description
I will give an accessible introduction to unsupervised machine learning and dimensionality reduction, analysing the role they can play in condensed matter physics research. I will then focus on principal component analysis (PCA) as a particularly simple and effective way to achieve this and explain, in practical terms, how one can deploy this technique for the analysis of muon spectroscopy data.
