Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data MiningGalit Shmueli, Peter C. Bruce, and Kuber R. Deokar is an English-language textbook aimed at professionals in the field. This book treats machine learning as an essential part of business analytics and data science.
The book provides a comprehensive introduction to machine learning for business analytics, with both statistical and machine learning algorithms for prediction, classification, clustering, text mining, time series forecasting, and more. The fourth edition also covers in-depth topics such as deep learning, experimental feedback techniques (including A/B testing and reinforcement learning), and responsible use of data science. Practical cases, exercises, and a companion website with datasets support the learning process.
This edition aligns with fields such as electronics and communications engineering and data mining, and is suitable for professionals and students who want to apply machine learning within business analytics.