{"product_id":"9781119549840","title":"Data Mining for Business Analytics: Concepts, Techniques and Applications in Python","description":"\u003ch1\u003eData Mining for Business Analytics\u003c\/h1\u003e\u003ch2\u003eConcepts, Techniques and Applications in Python\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eContributors:\u003c\/strong\u003e Shmueli, Galit; Bruce, Peter C.; Gedeck, Peter; Patel, Nitin R.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eData Mining for Business Analytics: Concepts, Techniques, and Applications in Python\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e presents an applied approach to data mining concepts and methods, using Python software for illustration\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReaders will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities.\u003c\/p\u003e \u003cp\u003eThis is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process\u003c\/li\u003e \u003cli\u003eA new section on ethical issues in data mining\u003c\/li\u003e \u003cli\u003eUpdates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students\u003c\/li\u003e \u003cli\u003eMore than a dozen case studies demonstrating applications for the data mining techniques described\u003c\/li\u003e \u003cli\u003eEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented\u003c\/li\u003e \u003cli\u003eA companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eData Mining for Business Analytics: Concepts, Techniques, and Applications in Python\u003c\/i\u003e is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.\u003c\/p\u003e \u003cp\u003e“This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.”\u003c\/p\u003e \u003cp\u003e—Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book \u003ci\u003eAn Introduction to Statistical Learning, with Applications in R \u003c\/i\u003e\u003c\/p\u003e\u003ch3\u003eBook Details\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e Wiley\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e 2019-11-05\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e Hardcover\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eISBN-13:\u003c\/strong\u003e 9781119549840\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePages:\u003c\/strong\u003e 608\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44381065543820,"sku":"9781119549840","price":127.76,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119549840.jpg?v=1768917601","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119549840","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}