Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining
by Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar
Machine Learning for Business Analytics presents core concepts, techniques, and applications of machine learning through a business analytics lens. With attention to Analytic Solver Data Mining, it offers readers a practical foundation for understanding data mining and the role of analytical methods in business-focused work.
About This Book
Machine Learning for Business Analytics introduces the concepts and techniques used to apply machine learning in business settings.
The book connects analytical methods with practical applications, supporting readers who want to understand how machine learning can inform business analytics.
It also focuses on Analytic Solver Data Mining, providing a platform-centered context for exploring data mining applications.
Written by Galit Shmueli, Peter C. Bruce, Nitin R. Patel, and Kuber R. Deokar, this title is suited to readers seeking an accessible business analytics resource.
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