Pattern Recognition and Machine Learning

B4B33RPZ/BE5B33RPZ

The basic formulations of the statistical decision problem are presented. The necessary knowledge about the (statistical) relationship between observations and classes of objects is acquired by learning on the training set. The course covers both well-established and advanced classifier learning methods, as Perceptron, AdaBoost, Support Vector Machines, and Neural Nets. The programming languages used in laboratory classes is Python.

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