出版社: O'Reilly Media
副标题: Building Smart Web 2.0 Applications
出版年: 2007-8-26
页数: 362
定价: USD 39.99
装帧: Paperback
ISBN: 9780596529321
内容简介 · · · · · ·
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? 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 w...
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? 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. This book explains: * Collaborative filtering techniques that enable online retailers to recommend products or media * Methods of clustering to detect groups of similar items in a large dataset * Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm * Optimization algorithms that search millions of possible solutions to a problem and choose the best one * Bayesian filtering, used in spam filters for classifying documents based on word types and other features * Using decision trees not only to make predictions, but to model the way decisions are made * Predicting numerical values rather than classifications to build price models * Support vector machines to match people in online dating sites * Non-negative matrix factorization to find the independent features in a dataset * Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect
Programming Collective Intelligence的创作者
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Toby Segaran 作者
作者简介 · · · · · ·
Toby Segaran works as a Data Magnate at Metaweb Technologies. Prior to working at Metaweb, he started a biotech software company called Incellico which was later acquired by Genstruct. His book, "Programming Collective Intelligence" has been the best-selling AI book on Amazon for several months. He is the recipient of a National Interest Waiver for "People of Exceptional Abilit...
Toby Segaran works as a Data Magnate at Metaweb Technologies. Prior to working at Metaweb, he started a biotech software company called Incellico which was later acquired by Genstruct. His book, "Programming Collective Intelligence" has been the best-selling AI book on Amazon for several months. He is the recipient of a National Interest Waiver for "People of Exceptional Ability", and currently lives in San Francisco. His blog and other information are located at kiwitobes.com.
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Programming Collective Intelligence的书评 · · · · · · ( 全部 48 条 )
from guwendong 《Programming Collective Intelligence》书评
> 更多书评 48篇
论坛 · · · · · ·
不错的一本书 | 来自leo | 2008-10-26 22:54:18 | |
看着看着, 越来越有意思了~~~ | 来自Nick 其实不会 | 2 回应 | 2008-10-21 01:28:45 |
怎么能买到这本书? | 来自Nick 其实不会 | 3 回应 | 2008-10-20 22:42:19 |
关于cluster的部分可以参考一下google developer的... | 来自xyb | 2 回应 | 2007-11-09 19:46:38 |
这本书的其他版本 · · · · · · ( 全部5 )
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电子工业出版社 (2009)9.0分 1570人读过
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东南大学出版社 (2008)8.9分 122人读过
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电子工业出版社 (2015)8.5分 93人读过
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オライリージャパン (2008)暂无评分
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二手市场
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订阅关于Programming Collective Intelligence的评论:
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0 有用 reeze 2011-03-22 13:00:51
在图书馆读过一点,没有深入学习,获益匪浅.准备再读.
0 有用 蛋定 2010-11-24 23:29:54
可惜很多人一辈子都用不上里面的算法,悲哀啊
0 有用 Dimen61 2014-04-04 15:04:05
第一次看用代码表示数学公式的书,有一种码农造反的感觉。。
0 有用 Z 2009-01-30 16:40:17
偶然发现的好书。
0 有用 洋葱 2012-06-09 05:02:37
觉得应该给三星半。结构内容是不错,只是API各种过期,例如geocoding的那个。书上代码有问题的地方也不少。
0 有用 刘家宝树 2020-02-03 16:32:50
开拓视野
0 有用 leechau 2019-02-08 20:23:31
分析到位,内容有点旧。
0 有用 simoncos|趙澈 2018-12-06 14:02:39
涵盖了一些常见的数据挖掘算法,和内容对比书名似乎有点容易误导,除非说只要是数据集都算collective。各种算法蜻蜓点水,这次算是借本书为索引,再去搜索、巩固一些基本知识。一些应用试用场景及细节讲得不错,但是没有对应上专有术语也没有引用,导致入门者难以深入。代码和实验没怎么看得进去(genetic programming那章实现除外)。随机优化那一章收获蛮多的:cost function, re... 涵盖了一些常见的数据挖掘算法,和内容对比书名似乎有点容易误导,除非说只要是数据集都算collective。各种算法蜻蜓点水,这次算是借本书为索引,再去搜索、巩固一些基本知识。一些应用试用场景及细节讲得不错,但是没有对应上专有术语也没有引用,导致入门者难以深入。代码和实验没怎么看得进去(genetic programming那章实现除外)。随机优化那一章收获蛮多的:cost function, representation of constrained problem, similar solutions yield similar results。 (展开)
0 有用 level 2018-11-27 22:10:05
原理讲得非常清楚明白,但是书中很多例子和代码都已经过时了
0 有用 vinceguo 2018-07-02 13:05:33
这种蠢书评价这么高,看来真的是阿猫阿狗也说自己在搞机器学习