Machine Learning for Business Analytics : Concepts, Techniques, and Applications in Python

John Wiley & Sons Inc

Machine Learning for Business Analytics\n\nConcepts, Techniques, and Applications in Python\n\nGalit Shmueli (Author), Peter C. Bruce (Author), Peter Gedeck (Author), Nitin R. Patel (Author)\n\n9781394286799, Wiley\n\nHardback, published 13 May 2025\n\n720 pages\n25.2 x 17.8 x 3.8 cm, 1.588 kg\n\nMachine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textbook covers both statistical and machine learning (AI) algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, network analytics and generative AI. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. \nThis is the second Python edition of Machine Learning for Business Analytics. This edition als]