Are you new to RapidMiner? Preparing to use our solution in 2014 to help your business forecast and predict future trends?

There is no better way to understand and learn more about predictive analytics and RapidMiner than by reading! We’ve compiled a list of our favorites. Our recommended reading will put a smile on any data enthusiast’s face! Check them out.

RapidMiner: Data Mining Use Cases and Business Analytics Applications

By Markus Hofmann and Ralf Klinkenberg

Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and other sectors.

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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

By Eric Siegel

This book is easily understood by all readers. Rather than a “how to” for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.

Exploring Data with RapidMiner

By Andrew Chisholm

Exploring Data with RapidMiner is packed with practical examples to help practitioners get to grips with their own data. It provides simple to intermediate examples showing modeling, visualization, and more using RapidMiner.

Data Mining for the Masses

By Matt North

In this book, Professor Matt North, a former risk analyst and database developer for eBay.com, uses RapidMiner to teach the basics of data mining. Simple examples, clear explanations, and demonstrated techniques help you answer your toughest business questions.