这本书提供了一个全面的基础，在机器学习的概念，以及在现实世界中数据挖掘的情况下，将机器学习的工具和技术的实用的建议。在里面，你会学到所有你需要知道的关于编写，解释输出，评估结果，以及算法的心脏成功的数据挖掘方法，包括过去和基于Java的方法，在尝试和真正的技术当代研究的前沿。如果你参与的任何级别的工作从大的数据集合中提取有用的知识，写清楚，并有效地说明本书将证明是一个非常宝贵的资源。



补充作者的指令，是一个全功能的独立于平台的Java软件的机器学习系统，可供下载。将它应用到的样本数据集，提供完善的数据挖掘能力，将其应用到自己的数据，辨别有意义的模式，并产生有价值的见解，适应它的专门的数据挖掘应用程序，或使用它来开发你自己的机器学习计划。-This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you ll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining-including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you re involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource.



Complementing the authors　instruction is a fully functional platform-independent Java software system for machine learning, available for download. Apply it to the sample data sets provided to refine your data mining skills, apply it to your own data to discern meaningful patterns and generate valuable insights, adapt