An introduction to pattern recognition and machine learning / by Paul Fieguth
Fieguth, Paul.
An introduction to pattern recognition and machine learning / by Paul Fieguth - 1st edition. - Switzerland AG: Springer Nature, 2022. - xxii, 471 p. 24 cm.
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.
9783030959937
Machine learning
Pattern recognition
004.931'1 FIE
An introduction to pattern recognition and machine learning / by Paul Fieguth - 1st edition. - Switzerland AG: Springer Nature, 2022. - xxii, 471 p. 24 cm.
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.
9783030959937
Machine learning
Pattern recognition
004.931'1 FIE