{"product_id":"an-introduction-to-statistical-learning-with-applications-in-r-springer-texts-in-statistics","title":"An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)","description":"\u003ch2\u003eAn Introduction to Statistical Learning, Second Edition\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eAn Introduction to Statistical Learning\u003c\/strong\u003e provides an accessible and practical introduction to statistical learning—the powerful collection of methods used to understand complex data, build predictive models, and extract meaningful insights. Designed for both statisticians and non-statisticians, this widely useful textbook explains important statistical learning techniques without requiring an advanced mathematical background.\u003c\/p\u003e\n\u003cp\u003eThe book covers essential \u003cstrong\u003emodeling and prediction methods\u003c\/strong\u003e with applications across fields such as biology, finance, marketing, and astrophysics. Color graphics and real-world examples make complex concepts easier to understand, while step-by-step \u003cstrong\u003eR tutorials\u003c\/strong\u003e help readers put the methods into practice using one of the most popular open-source statistical software platforms.\u003c\/p\u003e\n\u003ch3\u003eComprehensive Coverage of Statistical Learning\u003c\/h3\u003e\n\u003cp\u003eTopics include:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eLinear regression\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eClassification\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eResampling methods\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eShrinkage approaches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eTree-based methods\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSupport vector machines\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eClustering\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDeep learning\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSurvival analysis\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMultiple testing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eNaïve Bayes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eGeneralized linear models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBayesian additive regression trees\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMatrix completion\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eStatistical modeling and prediction\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat's New in the Second Edition?\u003c\/h3\u003e\n\u003cp\u003eThe Second Edition significantly expands the original material with:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNew chapters on deep learning, survival analysis, and multiple testing\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eExpanded coverage of \u003cstrong\u003enaïve Bayes\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eExpanded discussion of \u003cstrong\u003egeneralized linear models\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAdditional material on \u003cstrong\u003eBayesian additive regression trees\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eExpanded treatment of \u003cstrong\u003ematrix completion\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUpdated R code throughout for improved compatibility\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eNew examples and applications supporting modern statistical learning practice\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eAccessible Without Advanced Mathematics\u003c\/h3\u003e\n\u003cp\u003eOne of the book's key strengths is its approachable presentation. It assumes only a previous course in \u003cstrong\u003elinear regression\u003c\/strong\u003e and does not require prior knowledge of matrix algebra. This makes it suitable for readers who want to learn practical statistical learning techniques without beginning with an extensive theoretical or mathematical treatment.\u003c\/p\u003e\n\u003cp\u003eReaders familiar with \u003cstrong\u003eThe Elements of Statistical Learning\u003c\/strong\u003e will recognize many related topics, but \u003cem\u003eAn Introduction to Statistical Learning\u003c\/em\u003e presents them at a level intended for a much broader audience.\u003c\/p\u003e\n\u003ch3\u003eLearn Statistical Learning Through R\u003c\/h3\u003e\n\u003cp\u003eEach chapter includes a tutorial demonstrating how to implement the methods discussed using \u003cstrong\u003eR\u003c\/strong\u003e. These practical tutorials help bridge the gap between statistical concepts and real-world data analysis, making the book especially useful for students, researchers, analysts, and practitioners working with data.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIdeal for:\u003c\/strong\u003e Students of statistics and data science, researchers, analysts, scientists, business professionals, machine learning practitioners, and anyone looking for an accessible introduction to modern statistical learning.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eBuild practical statistical learning skills with a clear, application-focused guide to modeling, prediction, data analysis, and machine learning techniques.\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003chr class=\"a-divider-normal bucketDivider\"\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eSpringer\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eJuly 30, 2022\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEdition ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eSecond Edition 2021\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e622 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e1071614207\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-1071614204\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e7.6 ounces\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e6 x 1.25 x 9 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":67233007534329,"sku":null,"price":34.97,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0840\/6948\/2745\/files\/AnIntroductiontoStatisticalLearningwithApplicationsinR.jpg?v=1790548403","url":"https:\/\/thebookscharm.com\/products\/an-introduction-to-statistical-learning-with-applications-in-r-springer-texts-in-statistics","provider":"My Store","version":"1.0","type":"link"}