This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics -- neural networks, support vector machines and decision trees -- attributed to the recent vast progress in this field are also dealt with. Introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.

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This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighour based classifiers, current topics neural networks, support vector machines and decision trees attributed to the recent vast progress in this field are also dealt with. Pattern Recognition: An Algorithmic Approach will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.

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