{"product_id":"support-vector-machines-for-pattern-classification-in-depth","title":"Support Vector Machines for Pattern Classification - In-depth","description":"\u003cp\u003eIn this review of Support Vector Machines for Pattern Classification the reviewer finds a focused, academically oriented treatment ideal for researchers and advanced students. The book's single biggest strength is its exclusive attention to \u003cstrong\u003esupport vector machines\u003c\/strong\u003e applied to pattern classification, giving readers concentrated discussion and analysis not scattered across broader texts. It reads as a specialist resource rather than an introductory textbook, so expect dense explanations aimed at readers who already know basic machine learning concepts.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eFocused subject coverage:\u003c\/strong\u003e The book concentrates specifically on support vector machines and their role in pattern classification, which helps readers master the method without unrelated detours.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTheoretical emphasis:\u003c\/strong\u003e Detailed discussion of foundations provides the reasoning behind algorithmic choices, benefiting readers seeking depth rather than quick recipes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePattern classification orientation:\u003c\/strong\u003e Examples and exposition are tailored to classification tasks, making the material directly relevant to applied pattern recognition work.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConcise scope:\u003c\/strong\u003e Narrow scope reduces filler and keeps chapters tightly aligned to SVM theory and practice for classification problems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAcademic utility:\u003c\/strong\u003e The focused content makes the book a convenient reference for research projects or graduate-level courses on classification.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThis book is best for graduate students, researchers, and practitioners who already have a grounding in machine learning and want an authoritative, concentrated treatment of \u003cstrong\u003esupport vector machines\u003c\/strong\u003e as they apply to pattern classification. It serves well as a supplemental text for a course or as a reference for implementing or studying SVM-based classifiers.\u003c\/p\u003e\u003cp\u003eReaders looking for an introductory, hands-on tutorial with abundant code examples, or a broad survey of many machine learning models, should look elsewhere; this title assumes prior knowledge and emphasizes theoretical discussion over extensive practical walkthroughs.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eClear, focused treatment of SVMs makes it efficient to learn the theory specific to classification.\u003c\/li\u003e\n\u003cli\u003eUseful as a reference for research because it collects SVM discussion in one place rather than dispersing it across broader texts.\u003c\/li\u003e\n\u003cli\u003eThe pattern classification perspective ensures examples and explanations stay relevant to recognition tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eLimited practical, code-based tutorials or introductory material may frustrate readers seeking implementation-first guidance.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eSupport Vector Machines for Pattern Classification\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eAdvances in Computer Vision and Pattern Recognition\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eShigeo Abe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrimary topic\u003c\/td\u003e\n\u003ctd\u003eSupport vector machines for pattern classification\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntended audience\u003c\/td\u003e\n\u003ctd\u003eResearchers, graduate students, practitioners\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus\u003c\/td\u003e\n\u003ctd\u003eTheoretical and classification-oriented discussion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eThe book is a strong, focused choice for anyone who needs an in-depth, classification-centered treatment of \u003cstrong\u003esupport vector machines\u003c\/strong\u003e. It is good value as a specialist reference and as a supplemental graduate-level text, though readers seeking a beginner-friendly, code-heavy guide should supplement it with practical tutorials.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIs this book suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eIt assumes prior machine learning knowledge and is better suited to advanced students than complete beginners.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoes it cover practical implementation details?\u003c\/strong\u003e\u003cbr\u003eThe emphasis is theoretical and classification-oriented; practical code examples are limited and readers may need additional implementation resources.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho is the author?\u003c\/strong\u003e\u003cbr\u003eThe book is authored by Shigeo Abe and appears in the Advances in Computer Vision and Pattern Recognition series.\u003c\/p\u003e","brand":"Shigeo Abe","offers":[{"title":"Default Title","offer_id":48610103034075,"sku":"1447125487","price":133.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61duhl8fWNL._SL1312.jpg?v=1778352396","url":"https:\/\/gearmusthave.com\/products\/support-vector-machines-for-pattern-classification-in-depth","provider":"GearMustHave","version":"1.0","type":"link"}