{"product_id":"9781119439196","title":"Wiley Series in Probability and Statistics: a Concise Introduction","description":"\u003ch1\u003eWiley Series in Probability and Statistics: a Concise Introduction\u003c\/h1\u003e \u003ch2\u003eKnox, Steven W.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS\u003cbr\u003e\u003cbr\u003ePROSE Award Finalist 2019 \u003cbr\u003eAssociation of American Publishers Award for Professional and Scholarly Excellence\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMachine Learning: a Concise Introduction \u003c\/i\u003eoffers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field—presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. \u003ci\u003eMachine Learning: a Concise Introduction \u003c\/i\u003ealso includes methods for optimization, risk estimation, and model selection— essential elements of most applied projects. This important resource:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eIllustrates many classification methods with a single, running example, highlighting similarities and differences between methods\u003c\/li\u003e \u003cli\u003ePresents R source code which shows how to apply and interpret many of the techniques covered\u003c\/li\u003e \u003cli\u003eIncludes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions\u003c\/li\u003e \u003cli\u003eContains useful information for effectively communicating with clients\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eA volume in the popular Wiley Series in Probability and Statistics, \u003ci\u003eMachine Learning\u003c\/i\u003e: \u003ci\u003ea Concise Introduction \u003c\/i\u003eoffers the practical information needed for an understanding of the methods and application of machine learning.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSTEVEN W. KNOX \u003c\/b\u003eholds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has over twenty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He currently serves as Technical Director of Mathematics Research and Senior Advocate for Data Science at the National Security Agency.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Wiley\u003c\/p\u003e \u003cp\u003ePublication Date: 2018-04-17\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9781119439196\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 231.10cm x157.50cm\u003c\/p\u003e \u003cp\u003ePages: 352\u003c\/p\u003e ","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44314588151948,"sku":"9781119439196","price":96.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119439196_82ce4292-f5bd-4f6b-9683-73f9784ce5ec.jpg?v=1775667057","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119439196","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}