Machine Learning for Business Analytics av Galit (National Tsing Hua University Taiwan) Shmueli, Peter C. (Massachusetts Institute of Technology USA)

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<p><b>MACHINE LEARNING FOR BUSINESS ANALYTICS</b></p><p><b>Machine learning ¿also known as data mining or data analytics¿ is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.</b></p><p><i>Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R</i> provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques.</p><p>This is the second R edition of <i>Machine Learning for Business Analytics</i>. This edition also includes:</p><ul><li>A new co-author, Peter Gedeck,