An Introduction to Pattern Recognition and Machine Learning Hardback
by Paul Fieguth
Hardback
Description
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.
Information
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Out of stock
- Format:Hardback
- Pages:471 pages, 265 Illustrations, color; 5 Illustrations, black and white; XXII, 471 p. 270 illus., 265
- Publisher:Springer Nature Switzerland AG
- Publication Date:10/11/2022
- Category:
- ISBN:9783030959937
Information
-
Out of stock
- Format:Hardback
- Pages:471 pages, 265 Illustrations, color; 5 Illustrations, black and white; XXII, 471 p. 270 illus., 265
- Publisher:Springer Nature Switzerland AG
- Publication Date:10/11/2022
- Category:
- ISBN:9783030959937
