An Introduction to Pattern Recognition and Machine Learning
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Provides case studies in each chapter to contextualize the study material with real-world examples Offers a worked numerical lab in every chapter to ensure that abstract concepts are made concrete and accessible Emphasizes fundamental topics and insights, keeping an eye to making the book engaging and meaningful to many
Autor*in
Paul Fieguth
Themen in »An Introduction to Pattern Recognition and Machine Learning«
Bayesian reasoning Case studies in pattern classification Computational learning Machine learning Pattern classification Statistical learning crowd tracking face recognition hand-writing recognition internet image searching neighbor-based models pattern recognition and machine learning pattern recognition textbook
Stimmen zu »An Introduction to Pattern Recognition and Machine Learning«
“The book is an introduction to pattern recognition and machine learning. ... The book brings a balance between the analytical and experimental approaches of teaching these important subjects. It offers a great deal of examples and case studies. ... The book contains very useful appendices for refreshing mathematical concepts. Overall, this is an excellent introduction to pattern recognition and machine learning.” (Smaranda Belciug, zbMATH 1516.68002, 2023)
()