本书分为5个部分，共18章，较为全面地介绍了机器学习的基本概念，并讨论了数据挖掘和知识发现中的有关问题及多策略学习方法，具体地阐述了机器学习与数据挖掘在工程设计，文本、图像和音乐，网页分析、计算机病毒和计算机控制，医疗诊断、生物医疗信号分析和水质分析中的生物信号处理等方面的应用情况。本书收集众多不同领域中数据挖掘的实际案例，以此来说明数据挖掘的具体解决方法，以期为广大读者提供一个更为广阔的数据挖掘(The book is divided into 5 parts, 18 chapters, a more comprehensive introduction to the basic concepts of machine learning, and discusses some problems in data mining and knowledge discovery and multi strategy learning methods, specifically describes the machine learning and data mining in the engineering design, text, images and music, "analysis and control computer viruses and computer, biological signal processing and other applications in medical diagnosis, biomedical signal analysis and analysis of water quality. This book collects practical cases of data mining in many different fields, so as to illustrate the specific solutions of data mining, in order to provide a broader data mining for readers.)