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SIT743 Multivariate and Categorical Data Analysis: - This study unit gives a chance for scholars to equip themselves with a solid background in the evaluation of categorical and multivariate data. Scholars will be capable of evaluating, model and extract complicated patterns from correlated, multivariate datasets and apply their knowledge in the tasks which are related to machine learning, data science, and data mining.

In this academic course, scholars will be able to implement advanced techniques in machine learning to evaluate categorical and multivariate data. Concepts such as Bayesian modelling, probability theory, and probabilistic graphical models form the core knowledge of this academic unit.

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