مكتبة جامعة عجلون الوطنية

فهرس بحث المكتبة

An introduction to pattern recognition and machine learning / Paul Fieguth

By: Contributor(s): Material type: TextPublisher: Cham : Springer, [2022]Copyright date: ©2022Description: 1 online resource (xxii, 471 pages) : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030959951
  • 3030959953
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 006.4 23/eng/20221122
LOC classification:
  • Q327 2022
Online resources: Summary: 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
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books مكتبة جامعة عجلون الوطنية Q327 2022 (Browse shelf(Opens below)) Available e3986
Books مكتبة جامعة عجلون الوطنية Q327 2022 (Browse shelf(Opens below)) Available e3985

Includes bibliographical references and index

Available to OhioLINK libraries

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

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