An introduction to pattern recognition and machine learning / by Paul Fieguth

By:

Fieguth, Paul

Publication details: Switzerland AG: Springer Nature, 2022.Edition: 1st editionDescription: xxii, 471 p. 24 cmISBN:

9783030959937

Subject(s):

Summary: This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.

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Item type	Current library	Call number	Status	Notes	Barcode
Reference	IIITDM Kancheepuram Library Reference	004.93'1 FIE (Browse shelf(Opens below))	Available	CSE	0008244

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This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.

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