Title:
ProgrammingPCollectivePIntelligence
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- 2012-11-26
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Description: Book and calculation of statistical machine learning as the theme background, specifically on how to mine and analyze data and resources on the Web, how to analyze the user experience, marketing, personal tastes, and many other information, and draw useful conclusions, through complex algorithms Obtained from the Web site to collect and analyze data and user feedback in order to create new customer value and business value. Informative book, including collaborative filtering technology (associated with product recommendation capabilities to achieve), the cluster data analysis (in large-scale data set to explore a subset of similar data), the core search engine technology (crawler, index, query engine, PageRank algorithm, etc.) Massive search for statistical information and analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), using decision tree technology for forecasting and decision modeling, social network information ma
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