{"product_id":"9789819261666","title":"Pattern Recognition and Machine Learning for Self-Study II Unsupervised Learning","description":"\u003ch3\u003eSpringer Asia Pacific Mathematics Series\u003c\/h3\u003e\u003ch1\u003ePattern Recognition and Machine Learning for Self-Study II\u003c\/h1\u003e\u003ch2\u003eUnsupervised Learning\u003c\/h2\u003e\u003ch3\u003eKenichiro Ishii | Naonori Ueda\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Applied\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003eThis book covers unsupervised learning, one of the fundamental paradigms of pattern recognition and machine learning, and provides an accessible introduction for readers who wish to study the subject independently. Readers with a basic knowledge of linear algebra and probability theory will be able to follow the material without difficulty.\u003cbr\u003e\u003cbr\u003eThis book is the sequel to \u003cem\u003ePattern Recognition and Machine Learning for Self-Study I\u003c\/em\u003e, which focuses on supervised learning. However, it is completely self-contained and can be read independently without prior knowledge of Volume I.\u003cbr\u003e\u003cbr\u003eWith the rapid growth of the Internet and the increasing availability of large-scale datasets, unsupervised learning has become an essential tool for discovering latent structures in data. The book begins with a detailed introduction to Bayesian statistics, followed by discussions of two major approaches to parameter estimation: maximum likelihood estimation and Bayesian estimation. It then introduces the EM algorithm, mixture models, and hidden Markov models, explaining the fundamental concepts underlying parameter estimation. Finally, it covers clustering methods. Particular attention is given to nonparametric Bayesian models, which enable clustering without requiring the number of clusters to be specified in advance.\u003cbr\u003e\u003cbr\u003eThe book has the following features:\u003cbr\u003e(1) Worked examples are used extensively, and common examples are employed throughout the book to highlight the differences among various methods.\u003cbr\u003e(2) Numerous experiments using real datasets and illustrative figures are included to promote intuitive understanding.\u003cbr\u003e(3) Exercises are provided at the end of each chapter, and detailed solutions are available online.\u003cbr\u003e(4) Appendices supplement the main text, while ‘Coffee Break’ columns provide useful insights and practical perspectives.\u003cbr\u003e\u003cbr\u003eReaders who have studied Volume I and worked through this book will gain a broad range of practical knowledge and skills.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eKenichiro Ishii \u003c\/strong\u003eNagoya University, Nagoya, Japan.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNaonori Ueda \u003c\/strong\u003eRIKEN Center for Advanced Intelligence Project, Tokyo, Japan.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e10 November 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819261666\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e318\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":53983639666828,"sku":"9789819261666","price":62.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819261666.jpg?v=1787747206","url":"https:\/\/lateknightbooks.com\/products\/9789819261666","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}