Title
Essentials of Pattern Recognition: An Accessible Approach,Used
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This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a onesemester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with handson exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by realworld context and established as part of the big picture introduced in an early chapter. A problemsolving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.
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