{"product_id":"data-science-concepts-and-practice-slightly-damaged","title":"Data Science: Concepts and Practice (Slightly Damaged)","description":"\u003ch3 style=\"box-sizing: border-box; line-height: 1.1; margin-top: 2.1rem; margin-bottom: 1.05rem;\"\u003e\n\u003cspan style=\"font-family: Questrial, sans-serif; font-size: 2rem; font-style: inherit; letter-spacing: 0px; text-transform: uppercase; color: rgb(158, 32, 72);\"\u003eiTEM CONdition: \u003c\/span\u003e\u003cfont color=\"#9e2048\" face=\"Questrial, sans-serif\"\u003e\u003cspan style=\"font-size: 32px; text-transform: uppercase;\"\u003e(Damaged Book Sell) new book, minor damage during storage or transit, discounted for quick sell\u003c\/span\u003e\u003c\/font\u003e\n\u003c\/h3\u003e\u003ch3 style=\"font-style: inherit; letter-spacing: 0px; box-sizing: border-box; font-family: Questrial, sans-serif; line-height: 1.1; font-size: 2rem; margin-top: 2.1rem; margin-bottom: 1.05rem; text-transform: uppercase;\"\u003e\u003cspan style='font-family: \"Market Sans\", Arial, sans-serif;'\u003eItem Description:\u003c\/span\u003e\u003c\/h3\u003e\u003cdiv\u003e\n\u003cp style='box-sizing: border-box; padding: 0px; margin: 0px 0px 14px; color: rgb(15, 17, 17); font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003cspan style=\"box-sizing: border-box;\"\u003eLearn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style='box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003cspan style=\"box-sizing: border-box;\"\u003eData Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style='box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003cspan style=\"box-sizing: border-box;\"\u003eYou'll be able to:\u003c\/span\u003e\u003c\/p\u003e\n\u003col class=\"a-ordered-list a-vertical\" style='box-sizing: border-box; margin: 0px 0px 0px 28px; color: rgb(15, 17, 17); padding: 0px; font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003c\/ol\u003e\n\u003cp style='box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\" style='box-sizing: border-box; margin: 0px 0px 0px 18px; color: rgb(15, 17, 17); padding: 0px; font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003e\u003cspan class=\"a-list-item\" style=\"box-sizing: border-box;\"\u003eGain the necessary knowledge of different data science techniques to extract value from data.\u003c\/span\u003e\u003c\/li\u003e\u003c\/ul\u003e\n\u003cp style='box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\" style='box-sizing: border-box; margin: 0px 0px 0px 18px; color: rgb(15, 17, 17); padding: 0px; font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003e\u003cspan class=\"a-list-item\" style=\"box-sizing: border-box;\"\u003eMaster the concepts and inner workings of 30 commonly used powerful data science algorithms.\u003c\/span\u003e\u003c\/li\u003e\u003c\/ul\u003e\n\u003cp style='box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\" style='box-sizing: border-box; margin: 0px 0px 0px 18px; color: rgb(15, 17, 17); padding: 0px; font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003e\u003cspan class=\"a-list-item\" style=\"box-sizing: border-box;\"\u003eImplement step-by-step data science process using using RapidMiner, an open source GUI based data science platform\u003c\/span\u003e\u003c\/li\u003e\u003c\/ul\u003e\n\u003cp style='box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \"Amazon Ember\", Arial, sans-serif; font-size: 14px;'\u003e\u003cspan style=\"box-sizing: border-box;\"\u003eData Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more...\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e Paperback\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eLanguage:\u003c\/strong\u003e English\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eBook Title:\u003c\/strong\u003e Data Science: Concepts and Practice\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Vijay Kotu\u003c\/p\u003e\n\u003c\/div\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":46653765484700,"sku":"BOOK-06","price":69.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0741\/3835\/3820\/files\/57_0a61d8d2-3d81-4636-829c-4e39ae7cd6b2.jpg?v=1775727231","url":"https:\/\/exboxau.com.au\/products\/data-science-concepts-and-practice-slightly-damaged","provider":"EXBOX","version":"1.0","type":"link"}