{"product_id":"9781118727966","title":"Applied Predictive Analytics Principles and Techniques for the Professional Data Analyst","description":"\u003ch1\u003eApplied Predictive Analytics\u003c\/h1\u003e\u003ch2\u003ePrinciples and Techniques for the Professional Data Analyst\u003c\/h2\u003e\u003ch3\u003eDean Abbott\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Data Science \/ Data Warehousing\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eLearn the art and science of predictive analytics — techniques that get results\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePredictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today\u003c\/li\u003e \u003cli\u003eThis guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions\u003c\/li\u003e \u003cli\u003eExplains methods, principles, and techniques for conducting predictive analytics projects from start to finish\u003c\/li\u003e \u003cli\u003eIllustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios\u003c\/li\u003e \u003cli\u003eA companion website provides all the data sets used to generate the examples as well as a free trial version of software\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eApplied Predictive Analytics\u003c\/i\u003e arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eDEAN ABBOTT\u003c\/b\u003e is President of Abbott Analytics, Inc. (San Diego). He is an internationally recognized data mining and predictive analytics expert with over two decades experience in fraud detection, risk modeling, text mining, personality assessment, planned giving, toxicology, and other applications. He is also Chief Scientist of SmarterRemarketer, a company focusing on behaviorally- and data-driven marketing and web analytics.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e14 April 2014\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\u003e9781118727966\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e24.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44379971780748,"sku":"9781118727966","price":47.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781118727966.jpg?v=1781091695","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781118727966","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}