说明：  集体编程智慧电子版（英文版） 本书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。
(Collective Programming Wisdom Electronic Edition (English Version) The book focuses on machine learning and computational statistics. It focuses on mining and analyzing data and resources on the Web, analyzing user experiences, marketing, personal tastes, and other useful information. It uses sophisticated algorithms To collect, analyze and analyze user data and feedback the Web site in order to create new user value and business value. The book is informative, including collaborative filtering technology (to achieve associated product recommendation function), cluster data analysis (in a large-scale data set to explore similar data subset), search engine core technology (crawler, indexing, query engine, PageRank algorithm) Bayesian filtering technology (spam filtering, text filtering), decision tree technology to achieve prediction and decision-making modeling, social networking information matching technology, machine learning, and so on. Artificial intelligence applications.)