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Pattern Classification

By Richard O. Duda and Peter E. Hart and David G. Stork
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Pattern Classification by Richard O. Duda, Peter E. Hart, and David G. Stork explores the theoretical foundations and practical methods for classifying data patterns. It offers insight into various techniques, such as neural networks, support vector machines, and decision trees, providing a comprehensive guide for understanding and implementing pattern recognition algorithms. Suitable for students and professionals alike, it blends mathematical rigor with practical examples, making it a key resource in computing and technology.
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Format: Hardback
$38699
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you're interested in understanding and applying pattern recognition and machine learning techniques, especially within the fields of computing and technology. It's an excellent resource for those seeking to explore foundational methods and advanced concepts that are crucial in developing intelligent systems and applications.

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Pattern recognition is the construction of algorithms to decode and recognize images or data patterns in so-called random data. It is a vital and growing field with applications in artifical intelligence, machine learing, data mining, speech recognition, bioinformatics, and computer vision.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Pattern Classification involves the assignment of a physical object or event to one of several pre-specified categories. It represents the basic theory underlying pattern recognition by computers. With the spread of neural network research, pattern classification has seen a significant increase in both interest and research activity.

This edition has been completely revised, enlarged, and formatted in two colour. It presents a systematic account of the major topics in pattern recognition, grounded in fundamental principles. The book includes extensive examples and exercises, and it is accompanied by a solutions manual.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Pattern Classification by Richard O. Duda, Peter E. Hart, and David G. Stork offers an excellent introduction to the field of pattern recognition, highly praised for its clarity and systematic approach. It is often recommended as a benchmark for future authors and considered an invaluable resource for both students and professionals. The book is noted for providing thorough guidance on selecting appropriate techniques for various problems, making it essential reading for anyone seriously engaged in the subject.

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Book Details

INFORMATION

ISBN: 9780471056690

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 21 November 2000

Country: United States

Imprint: Wiley-Interscience

Edition: 2nd edition

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Spine width: 38.0mm

Width: 185.0mm

Height: 257.0mm

Weight: 1225g

Pages: 688

Collections

Computing & Technology David G. Stork Education & Reference Non-Fiction Peter E. Hart Richard O. Duda

About the Author

RICHARD O. DUDA, PhD, is Professor in the Electrical Engineering Department at San Jose State University, San Jose, California.

PETER E. HART, PhD, is Chief Executive Officer and President of Ricoh Innovations, Inc. in Menlo Park, California.

DAVID G. STORK, PhD, is Chief Scientist, also at Ricoh Innovations, Inc.

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