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

by Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Amit V. Deokar

Machine Learning business analytics Data Mining RapidMiner
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Machine Learning for Business Analytics offers a business-focused introduction to machine learning concepts, techniques, and applications. Using RapidMiner as its practical environment, the book provides a foundation for readers interested in understanding how machine learning relates to business analytics and applied data-driven work.

About This Book

Machine Learning for Business Analytics introduces the subject from a business-oriented perspective.

The book covers concepts and techniques related to machine learning and analytics.

It also addresses applications developed with RapidMiner, connecting the topic to a practical software environment.

Written by Galit Shmueli, Peter C. Bruce, Nitin R. Patel, and Amit V. Deokar, this resource is suited to readers seeking an accessible foundation in business analytics.

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I will be using this book for: