Cover of Machine Learning for Business Analytics

Machine Learning for Business Analytics

Concepts, Techniques, and Applications in Python
Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel
Publisher: John Wiley & Sons
Published: 2025
ISBN-13: 9781394286805
ISBN-10: 1394286805
Pages: 720
Subjects: Computers / Data Science / Data Analytics, Computers / Data Science / Data Warehousing, Computers / Data Science / Machine Learning, Mathematics / General, Mathematics / Probability & Statistics / Stochastic Processes
2 study resources available for this textbook

About Machine Learning for Business Analytics

Machine 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. This is the second Python edition of Machine Learning for Business Analytics. This edition also includes: A new chapter on generative AI (large language models or LLMs, and image generation)An expanded chapter on deep learningA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and n...

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