{"product_id":"9789819514779","title":"Pattern Recognition and Machine Learning for Self-Study I Supervised Learning","description":"\u003ch3\u003eSpringer Asia Pacific Mathematics Series\u003c\/h3\u003e\u003ch1\u003ePattern Recognition and Machine Learning for Self-Study I\u003c\/h1\u003e\u003ch2\u003eSupervised Learning\u003c\/h2\u003e\u003ch3\u003eKenichiro Ishii | Naonori Ueda | Eisaku Maeda | Hiroshi Murase\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Applied\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-pagination: widow-orphan;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: EN-US;\"\u003eThis book explains the basic principles of pattern recognition (PR) and machine learning (ML) in an easy-to-understand manner for beginners who are trying to learn these principles on their own. Readers with a basic knowledge of linear algebra and probability theory will find it easy to follow.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-pagination: widow-orphan;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: EN-US;\"\u003eMany excellent books in this field have been published in the past.  However, these books are not necessarily intended for self-study by beginners.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-pagination: widow-orphan;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: EN-US;\"\u003eThis book limits the topics to the minimum essential themes that beginners should learn, and explains them in detail. This book focuses on supervised learning, first introducing classical but important methods that have contributed to the development of the field. It then explains various methods that have since attracted attention. In explaining these methods, the book also provides a historical account of how new technologies were created as a result of combining classical ideas. The book emphasizes that Bayes decision rule is a fundamental concept in PR and ML.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-pagination: widow-orphan;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: EN-US;\"\u003eThe following points make this book suitable for self-study by beginners.\u003cbr\u003e(1) The book is self-contained, so that the reader does not need to refer to other books or literature.  \u003cbr\u003e(2) To deepen the reader's understanding, exercises are provided at the end of each chapter with detailed solutions available online.\u003cbr\u003e(3) To promote the reader's intuitive understanding, the book presents as many concrete examples as possible.\u003cbr\u003e(4) \u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;\"\u003e‘\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: EN-US;\"\u003eCoffee \u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: JA;\"\u003eB\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: EN-US;\"\u003ereak’ columns introduce knowledge and know-how from the author's experience.\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: JA;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-pagination: widow-orphan;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt; mso-fareast-language: EN-US;\"\u003eUnsupervised learning will be discussed in a sequel.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-themecolor: text1;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;\"\u003eKenichiro Ishii \u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt;\"\u003eworked at NTT until 2003, after which he served as a professor at Nagoya University until 2012. He is currently a Professor Emeritus at Nagoya University.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u003eNaonori Ueda\u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u003e worked at NTT until 2023. Since then, he has been serving as an NTT Research Professor. \u003cspan style=\"mso-spacerun: yes;\"\u003e \u003c\/span\u003eHe has also been concurrently working at RIKEN Center for Advanced Intelligence Project (AIP) as Deputy Director since 2016, and in 2023, he transitioned to a full-time position at RIKEN AIP.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;\"\u003eEisaku Maeda\u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;\"\u003e was with NTT until 2017 and has since been serving as a \u003cspan style=\"mso-bidi-font-weight: bold;\"\u003eprofessor\u003c\/span\u003e at \u003cspan style=\"mso-bidi-font-weight: bold;\"\u003eTokyo Denki University\u003c\/span\u003e.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: justify; line-height: normal;\"\u003e\u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u003eHiroshi Murase\u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"mso-bidi-font-size: 11.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u003e worked at NTT until 2003, after which he served as a professor at Nagoya University until 2021. He is currently a Professor Emeritus at the same university.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e31 May 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\u003e9789819514779\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\u003e459\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":44334651179148,"sku":"9789819514779","price":71.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819514779.jpg?v=1781087259","url":"https:\/\/lateknightbooks.com\/products\/9789819514779","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}