Data Mining for Business Analytics Book [PDF] Download

Download the fantastic book titled Data Mining for Business Analytics written by Galit Shmueli, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Mining for Business Analytics", which was released on 14 October 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Data Mining for Business Analytics by Galit Shmueli PDF

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers 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. This 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: A 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 A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python 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. “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.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R


Detail About Data Mining for Business Analytics PDF

  • Author : Galit Shmueli
  • Publisher : John Wiley & Sons
  • Genre : Mathematics
  • Total Pages : 608 pages
  • ISBN : 111954985X
  • PDF File Size : 40,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Data Mining for Business Analytics

Data Mining for Business Analytics
  • Publisher : John Wiley & Sons
  • File Size : 35,7 Mb
  • Release Date : 14 October 2019
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how

Data Mining for Business Analytics

Data Mining for Business Analytics
  • Publisher : John Wiley & Sons
  • File Size : 28,5 Mb
  • Release Date : 18 April 2016
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An applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using

Data Mining and Business Analytics with R

Data Mining and Business Analytics with R
  • Publisher : John Wiley & Sons
  • File Size : 42,5 Mb
  • Release Date : 28 May 2013
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Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open

Customer and Business Analytics

Customer and Business Analytics
  • Publisher : CRC Press
  • File Size : 48,6 Mb
  • Release Date : 07 May 2012
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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems.

Data Mining for Business Analytics

Data Mining for Business Analytics
  • Publisher : John Wiley & Sons
  • File Size : 39,6 Mb
  • Release Date : 05 November 2019
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how

Real-World Data Mining

Real-World Data Mining
  • Publisher : FT Press
  • File Size : 25,8 Mb
  • Release Date : 16 December 2014
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Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining

A Practical Guide to Data Mining for Business and Industry

A Practical Guide to Data Mining for Business and Industry
  • Publisher : John Wiley & Sons
  • File Size : 30,9 Mb
  • Release Date : 31 March 2014
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Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a

Business Intelligence and Data Mining

Business Intelligence and Data Mining
  • Publisher : Business Expert Press
  • File Size : 23,9 Mb
  • Release Date : 31 December 2014
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“This book is a splendid and valuable addition to this subject. The whole book is well written and I have no hesitation to recommend that this can be adapted as

Data Mining for Business Intelligence

Data Mining for Business Intelligence
  • Publisher : John Wiley & Sons
  • File Size : 33,6 Mb
  • Release Date : 11 December 2006
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Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing