Paul Fieguth
An Introduction to Pattern Recognition and Machine Learning
An Introduction to Pattern Recognition and Machine Learning
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- More about An Introduction to Pattern Recognition and Machine Learning
This text provides an accessible and conceptually rich introduction to Pattern Recognition and Machine Learning, with a solid mathematical development emphasizing simplicity and intuition. It is designed for students beginning to explore the field, and offers methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.
Format: Hardback
Length: 471 pages
Publication date: 02 September 2022
Publisher: Springer Nature Switzerland AG
The fields of Pattern Recognition and Machine Learning have witnessed remarkable growth and interest, yet the vast array of methods and applications can sometimes make these domains appear overwhelming. This text aims to provide an accessible and conceptually rich introduction, accompanied by a solid mathematical development that prioritizes simplicity and intuition. It is particularly beneficial for students embarking on their exploration of pattern recognition, as they do not require a comprehensive suite of mathematically advanced techniques or extensive computational libraries to grasp and appreciate the fundamental concepts and insights. These concepts are readily teachable at the undergraduate level and serve as the driving force behind this text.
The book offers practical methods of analysis that readers can realistically undertake on their own, supported by real-world examples, case studies, and worked numerical/computational studies. By employing these methods, readers will gain a deeper understanding of pattern recognition and its applications, while also developing the skills necessary to apply these techniques in their own research or practical endeavors.
Whether you are a student, researcher, or professional seeking to expand your knowledge in Pattern Recognition and Machine Learning, this text is an invaluable resource. It provides a solid foundation for understanding the core concepts and enables readers to apply these principles to real-world problems. So, whether you are just starting your journey in these fields or looking to deepen your expertise, this book is a must-read for anyone interested in exploring the exciting world of pattern recognition and machine learning.
Weight: 904g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030959937
Edition number: 1st ed. 2022
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