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[Other] PCI_Code DL : 0: 《集体智慧编程》是一本以Python实例代码讲解机器学习和计算统计算法的书，非常不错，里面提到的算法都有具体的代码实现，这里的代码就是经过验证的Python源码-" Programming Collective Intelligence" is an example of code in Python on the machine learning algorithm and calculation of statistics books, very good, which are referred to a specific algorithm code, the code here is a proven source
Date : 2025-12-21 Size : 226kb User : binheart
[Other] Programming.Collective.Intelligence DL : 0: 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。-The book and calculation of statistical machine learning as the theme background, specifically on how to dig and analyze data on the Web and resources, how to analyze the user experience, marketing, personal tastes and many other information, and draw useful conclusions, through a complex algorithm from the Web site to access, collect and analyze user data and feedback information in order to create a new user value and business value. Informative book, including the collaborative filtering technology (to achieve related product recommendation function), the cluster data analysis (in large-scale data set to explore a subset of similar data), search engine core technology (reptiles, index, query engine, PageRank algorithm, etc.), Search for massive information and statistical analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), with technology forecasting and decision tree modeling, social network information matching techn
Date : 2025-12-21 Size : 2.51mb User : 陈磊
[Other] CI_Programming DL : 0: 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。-This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you ve found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general--all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application.
Date : 2025-12-21 Size : 2.51mb User : Wesley
[Other] Collective.Intelligence DL : 0: 集体智慧编程的材料，很详细。这个是英文版本-Collective wisdom of the programming material
Date : 2025-12-21 Size : 2.51mb User : zhu
[Other] p-c-i DL : 0: 集体智慧编程，人工智能经典。希望对相关领域研究人员有所帮助-programming collective intelligence
Date : 2025-12-21 Size : 2.56mb User : bob
[Other] Collective-intelligence DL : 0: 集体智慧编程中文版集体智慧编程中文版-Collective intelligence programming Chinese version
Date : 2025-12-21 Size : 27.21mb User : Can
[Other] Programming.Collective.Intelligence DL : 0: 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.
Date : 2025-12-21 Size : 2.51mb User : mai