{"product_id":"9780470371923","title":"Knowledge Discovery with Support Vector Machines","description":"\u003ch3\u003eWiley Series on Methods and Applications in Data Mining\u003c\/h3\u003e\u003ch1\u003eKnowledge Discovery with Support Vector Machines\u003c\/h1\u003e\u003ch3\u003eLutz H. Hamel\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Data Science \/ Data Analytics\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cb\u003eAn easy-to-follow introduction to support vector machines\u003c\/b\u003e  \u003cp\u003eThis book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eKnowledge discovery environments\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eDescribing data mathematically\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eLinear decision surfaces and functions\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003ePerceptron learning\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMaximum margin classifiers\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eSupport vector machines\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eElements of statistical learning theory\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMulti-class classification\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eRegression with support vector machines\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eNovelty detection\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eComplemented with hands-on exercises, algorithm descriptions, and data sets, \u003ci\u003eKnowledge Discovery with Support Vector Machines\u003c\/i\u003e is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cb\u003eLutz Hamel, PhD\u003c\/b\u003e, teaches at the University of Rhode Island, where he founded the machine learning and data mining group. His major research interests are computational logic, machine learning, evolutionary computation, data mining, bioinformatics, and computational structures in art and literature.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e03 August 2009\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470371923\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\u003e264\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e19.36\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315520761996,"sku":"9780470371923","price":138.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470371923_422a712c-0fa6-4984-9e75-88e527c7418f.jpg?v=1780114482","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780470371923","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}