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

集体智慧编程中文版.pdf

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