An introduction to pattern recognition and machine learning /
Fieguth, Paul,
An introduction to pattern recognition and machine learning / Paul Fieguth - 1 online resource (xxii, 471 pages) : illustrations (chiefly color) -
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
9783030959951 3030959953
10.1007/978-3-030-95995-1 doi
Pattern perception.
Machine learning.
Electronic books
Q327 / 2022
006.4
An introduction to pattern recognition and machine learning / Paul Fieguth - 1 online resource (xxii, 471 pages) : illustrations (chiefly color) -
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
9783030959951 3030959953
10.1007/978-3-030-95995-1 doi
Pattern perception.
Machine learning.
Electronic books
Q327 / 2022
006.4