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ACE-DS

Module Title: 
Advanced data mining
Module Code: 
DSM6331

Basis expansions and regularization (piecewise polynomials, splines, filtering and feature Extraction).

Smoothing methods (smoothing splines, Kernel smoothing, wavelet smoothing).

Additive models, tree-based methods and boosting methods.

Boosting and additive trees

Neural networks.

Support vector machines and flexible discriminants.

Unsupervised learning (association rules, cluster analysis).

Random forests

Bayesian learning: Bayes' theorem to combine data information with other prior information. Bayesian analysis of conjugate models. Markov Chain Monte Carlo methods for Bayesian computations.

High-dimensional problems

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African Center of Excellence in Data Science(ACE-DS)

Head Office:UR College of Business & Economics

E-mail:   aceds@ur.ac.rw

Phone:(+250) 788484421