Ankara Üniversitesi Açık Ders Malzemeleri

The aim of this course is to make students understand the theoretical background of the pattern recognition methods and apply this knowledge to realistic practical applications. The cource topics: Bayesian Decision Theory, Bayesian Classification for Normal Distributions, Maximum Likelihood Parameter Estimation, Linear Discriminant Functions, Linear Support Vector Machines/kernel SVMs, Decision Tree Learning/random forests, Data Preprocessing/dimensionality reduction, Model evaluation/cross validation, Clustering, Multilayer Neural Networks