An Introduction to Pattern Recognition and Machine Learning
by [Fieguth, Paul]
$104.92
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.
Product Details
- Springer Brand
- Nov 10, 2022 Pub Date:
- 9783030959937 ISBN-13:
- 3030959937 ISBN-10:
- 493.0 pages Hardcover
- English Language
- 6.34 in * 1.46 in * 9.53 in Dimensions:
- 2 lb Weight:
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