17 Feb 2003, L.A.
Working document, subject to change
Topics include: Elementary information theory (including noiseless coding and compression); introduction to inductive inference and prediction; data modelling and data mining; introduction to Minimum Message Length (MML) inference; clustering, mixture modelling and unsupervised classification; supervised classification and decision trees. Example applications may be described.
Foundn/models/applics | [[practical]] |