GitHub / Shantanu-Gupta-au16 / Probabilistic-Machine-Learning
This unit provides a strong background in the analysis of multivariate and categorical data. Concepts such as probability theory, Bayesian modelling, dimensionality reduction, clustering, finite mixture modelling and probabilistic graphical models form the core knowledge of this unit.
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Language: R
Size: 2.24 MB
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Created at: over 6 years ago
Updated at: over 1 year ago
Pushed at: almost 6 years ago
Last synced at: over 1 year ago
Topics: bayesian-statistics, machine-learning, probabilistic-graphical-models, probability-theory