Machine Learning for Business Analytics\n\nConcepts, Techniques, and Applications in R\n\nGalit Shmueli (Author), Peter C. Bruce (Author), Peter Gedeck (Author), Inbal Yahav (Author), Nitin R. Patel (Author)\n\n9781119835172, Wiley\n\nHardback, published 8 February 2023\n\n688 pages\n26.2 x 18.5 x 3.6 cm, 1.157 kg\n\nMACHINE LEARNING FOR BUSINESS ANALYTICS \nMachine learning \u2014also known as data mining or data analytics\u2014 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. \nMachine 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 hand]