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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	November 2022
Genre:	Naturwissensch., Medizin, Technik
	Bayesianreasoning / Casestudiesinpatternclassification / computationallearning / CrowdTracking / Data Mining / Digitale Signalverarbeitung (DSP) / Elektronik / facerecognition / hand-writingrecognition / internetimagesearching / machinelearning / Mustererkennung / neighbor-basedmodels / PatternClassification / Patternrecognitionandmachinelearning / patternrecognitiontextbook / statisticallearning / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783030959937
EAN-Code:	9783030959937
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 33 mm
Gewicht:	904 gr
Seiten:	496
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. 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.