{"product_id":"an-introduction-to-statistical-learning-with-applications-in-r-2nd-edition-book","title":"An Introduction to Statistical Learning: with Applications in R 2nd Edition Book,","description":"\u003cp\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e Springer\u003cbr\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003cbr\u003e\u003cstrong\u003eISBN-13:\u003c\/strong\u003e 9781071614174\u003cbr\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Gareth James, Daniela Witten, and other contributors\u003cbr\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e Hardcover\u003c\/p\u003e\u003cp\u003e\u003cem\u003eAn Introduction to Statistical Learning: with Applications in R 2nd Edition Book,\u003c\/em\u003e is published by Springer and written or edited by Gareth James, Daniela Witten, and other contributors. This second edition introduces statistical learning through an approachable balance of concepts, applications, and hands-on work in R.\u003c\/p\u003e\u003cp\u003eTopics include regression, classification, resampling, regularization, tree-based methods, support vector machines, deep learning, survival analysis, and unsupervised learning. Its clear organization helps readers locate important ideas and return to useful sections as needed.\u003c\/p\u003e\u003cp\u003eA dependable choice for data-science students, statisticians, researchers, R users, and professionals building predictive models, this new copy works well for coursework, independent study, review, and long-term reference.\u003c\/p\u003e","brand":"Book Valley USA","offers":[{"title":"Default Title","offer_id":45915432910908,"sku":null,"price":43.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0717\/0310\/1500\/files\/9781071614174_cc0ff28d-13d4-4d19-a9b0-4747d2f09b44.jpg?v=1785647733","url":"https:\/\/bookvalleyusa.com\/products\/an-introduction-to-statistical-learning-with-applications-in-r-2nd-edition-book","provider":"BookValley USA","version":"1.0","type":"link"}