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CSAI 114 Pattern Recognition: Reading list

CSAI 114 Pattern Recognition

Department: BSc Computer Science

Module Description: Pattern recognition theory and practice is concerned with the design, analysis, and development of methods for the classification or description of patterns, objects, signals, and processes. At the heart of this discipline is our ability infer the statistical behaviour of data from limited data sets, and to assign data to classes based on generalized notions of distances in a probabilistic space. Many commercial applications of pattern recognition exist today, including face detection and recognition, handwriting recognition, and speech recognition. Today, machine learning is one of the most active areas of Artificial Intelligence and is enjoying unprecedented levels of success. This course is designed to give the student a strong background in fundamentals of Pattern Recognition and machine learning using Deep Neural Network. Also introduce the student to the tools necessary to implement the deep learning algorithms.

Module texts

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