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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INTRO TO PATTERN RECOGN & MACHINE LEARN
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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INTRO TO PATTERN RECOGN & MACHINE LEARN
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INTRO TO PATTERN RECOGN & MACHINE LEARN
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Product Details
ISBN-13: | 9789814656276 |
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Publisher: | World Scientific Publishing Company, Incorporated |
Publication date: | 04/22/2015 |
Series: | IISC LECTURE NOTES SERIES , #5 |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 404 |
File size: | 10 MB |
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