{"product_id":"9781394325252","title":"Machine Learning A Concise Introduction","description":"\u003ch1\u003eMachine Learning\u003c\/h1\u003e\u003ch2\u003eA Concise Introduction\u003c\/h2\u003e\u003ch3\u003eSteven W. Knox\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eNew edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-side\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eMachine Learning\u003c\/i\u003e is a comprehensive text on the core concepts, approaches, and applications of machine learning. It presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. New content for this edition includes chapter expansions which provide further computational and algorithmic insights to improve reader understanding. This edition also revises several chapters to account for developments since the prior edition. \u003c\/p\u003e\n\u003cp\u003eIn this book, the design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods, enabling readers to solve applied problems more efficiently and effectively. This book also includes methods for optimization, risk estimation, model selection, and dealing with biased data samples and software limitations — essential elements of most applied projects. \u003c\/p\u003e\n\u003cp\u003eWritten by an expert in the field, this important resource: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIllustrates many classification methods with a single, running example, highlighting similarities and differences between methods\u003c\/li\u003e\n\u003cli\u003ePresents side-by-side Python and R source code which shows how to apply and interpret many of the techniques covered\u003c\/li\u003e\n\u003cli\u003eIncludes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions\u003c\/li\u003e\n\u003cli\u003eContains useful information for effectively communicating with clients on both technical and ethical topics\u003c\/li\u003e\n\u003cli\u003eDetails classification techniques including likelihood methods, prototype methods, neural networks, classification trees, and support vector machines\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eA volume in the popular Wiley Series in Probability and Statistics, \u003ci\u003eMachine Learning\u003c\/i\u003e offers the practical information needed for an understanding of the methods and application of machine learning for advanced undergraduate and beginner graduate students, data science and machine learning practitioners, and other technical professionals in adjacent fields.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eSteven W. Knox\u003c\/b\u003e holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has almost thirty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He is currently a Data Science Subject Matter Expert at the National Security Agency, where he has also served as Technical Director of Mathematics Research and in other senior technical and leadership roles. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e23 March 2026\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394325252\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\u003e432\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e34.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44311843700876,"sku":"9781394325252","price":98.96,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394325252_1d10d507-f7d5-4200-a625-6d67e0fc28e5.jpg?v=1780112153","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394325252","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}