具体描述
"The first chapter is free (http://www.manning-source.com/books/alag/alag_meapch1.pdf) and so is the source code used in the book (http://www.manning-source.com/books/alag/CIiA-src.zip).
The book is for Java developers who want to implement “Collective Intelligence” applications in Java. It tells us about extracting and applying data from blogs, wikis and social network applications. People who read this blog know that I am not one to praise, but this book succeeds brilliantly. If you are a Java engineer and work with Web technologies, you must get this book. It covers topics such as computing similarity measures using vector models, Naïve Bayes Classifiers, inverse document frequency (idf), Machine Learning (using the Weka API), building a crawler with regular expressions, collaborative filtering (with links to open source tools), and so on.
Even if you do not work with Java, if you care for high-end Web applications, this book is for you. It reminds me of Lyon’s Java Digital Signal Processing book. It offers the gist of what academia knows, but focuses on what people (engineers and researchers) do in practice.
The book is not meant for academia however. There are references, but no theorem."
-- by Daniel Lemire http://feeds.feedburner.com/~r/daniel-lemire/atom/~3/304207263/
用户评价
##java为主，CI也是炒个概念，主要还是BI
评分 评分RECS推荐
评分 评分##看完对web2.0有了清晰地认识，不错。。。
评分##JAVA写的，适合刚刚入门的新同学！常用算法都会讲到，然后还讲了一些开源工具包的使用方法！
评分##看完对web2.0有了清晰地认识，不错。。。
评分##java为主，CI也是炒个概念，主要还是BI
评分##java为主，CI也是炒个概念，主要还是BI
相关图书
本站所有內容均為互聯網搜索引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 tushu.tinynews.org All Rights Reserved. 求知書站 版权所有