Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R by Galit Shmueli, Peter C. Bruce and Peter Gedeck is an English-language textbook aimed at professionals. It discusses the application of machine learning in business analytics using the R programming language.
This textbook provides an in-depth introduction to machine learning for business. It covers both statistical and machine learning methods for, among other things, prediction, classification, clustering, text mining, and network analytics. The second R edition includes new chapters on deep learning, experimental feedback techniques such as A/B testing, uplift modeling, and responsible data science. In addition, the book includes case studies, practical exercises, and also discusses ethical and management aspects. By combining theory and practice, this title is suitable for courses and for professionals who want to apply business analytics with machine learning.
The book aligns with fields such as mathematics, business studies, and data science, making it a valuable reference work for both MBA and master’s programs.