《集体智慧编程》(programming collective intelligence building smart web 2.0 applications)以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、pagerank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-The collective wisdom of programming " (programming collective intelligence building smart web 2.0 applications) Machine Learning and Computational Statistics background data and resources devoted to mining and analysis on the web, how to analyze the user experience, marketing, personal tastes, and many other information and draw useful conclusions, through a complex algorithm obtained from the web site, the collection and analysis of user data and feedback information, in order to create a new user value and commercial value. The book is informative, including collaborative filtering technology (associated product recommendation function), cluster analysis (in large-scale data sets to explore similar data subset), the core technology of the search engine (reptiles, index, query engine, pagerank algorithm), search massive amounts of information and statistical analysis to draw conclusions optimization algorithm, Bayesian filtering technology (spam filtering, text filtering), decisi