Cover of Machine Learning for Business Analytics

Machine Learning for Business Analytics

Concepts, Techniques, and Applications in R
Galit Shmueli, Peter C. Bruce, Peter Gedeck, Inbal Yahav, Nitin R. Patel
Publisher: John Wiley & Sons
Published: 2023
ISBN-13: 9781119835196
ISBN-10: 1119835194
Pages: 688
Subjects: Computers / Data Science / Data Analytics, Computers / Data Science / Neural Networks, Mathematics / General, Mathematics / Probability & Statistics / Stochastic Processes
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About Machine Learning for Business Analytics

MACHINE LEARNING FOR BUSINESS ANALYTICS 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. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R 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. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning...

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