Programming Collective Intelligence (豆瓣)

副标题: Building Smart Web 2.0 Applications
ISBN: 9780596529321
页数: 304
定价: USD 39.99
出版社: O'Reilly Media, Inc.
装帧: Paperback
出版年: 2007-08-16

9.1

(130人评价)

56.2%

40.8%

3.1%

0.0%

想读在读读过

评价:

写书评
 X

登录 · · · · · ·

Email:

密码: 忘记密码了

在这台电脑上记住我

>还没有注册...
加入豆列
推荐

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... (展开全部) 　　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　　

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 Ability", and currently lives in San Francisco. His blog and other information are located at kiwitobes.com.

豆瓣成员常用的标签(共119个) · · · · · ·

数据挖掘(125) programming(65) Web2.0(63) python(59) collective(44) intelligence(43) datamining(36) O'Reilly(33)

喜欢读"Programming Collective Intelligence"的人也喜欢 · · · · · ·

: The Art of UNIX Programming

: Patterns for Parallel Programming (Software Patterns Series)

: UNIX编程艺术

: Beautiful Code: Leading Programmers Explain How They Think

: Dive Into Python

: 程序员修炼之道

: 模式分类(原书第2版)

: STL 源码剖析

: 测试驱动开发（中文版）

: 设计模式

书评 · · · · · ·
热门评论  最新评论我来评论这本书
X

登录 · · · · · ·

Email:

密码: 忘记密码了

在这台电脑上记住我

>还没有注册...

实战性极强
clickstone(2009年度巅峰神作<Moon>)

中国有句老话，叫做“知易行难”。作算法的朋友应该更有体会，想把 paper 上的公式转变为可以运行的代码，这是件考验功力的事情。 Toby Segaran 写的这本《Programming Collective Intelligence》，是修炼此种功力的武林秘笈之一。这本书最显著的特点是，实战性极强！ ...... (7回应)

2008-08-25 11/12有用

入门的好书
yeahq

花了很长时间，终于断断续续地坚持把《Programming Collective Intelligence》给读完了。作者用非常直观的方式向读者展示了人工智能和机器学习中的大量经典的算法。更可贵的是，作者在展示算法时所使用的例子都是Internet中非常有代表性的场景，并且很多情况下还会结合一些实际运营的Web站......

2009-04-13 3/3有用

很明了，很实用
Indigo

这本书下载了已经有一段时间了。但是暑假才正式看。个人感觉书中设计的很实用，很明了。待看完了，来写书评。......

2008-07-09

感觉离实际应用还有点距离
j.L@enjoy Life(纪念512)

1个问题有N个方案，如果单靠某个方案去解决该问题，感觉有点不靠谱。随便举个例子：书中的Filtering Spam,算法本身没什么问题，但是其有个前提，数据越多准确性越高，但是一般公司项目上的数据不会很多，于是准确性就会低了。要保证准确性，就要上大量数据，可能1亿的数据只为保证100万的真实数据的准确性......

2008-11-17

"Programming Collective Intelligence"论坛 · · · · · ·


我有电子书	来自kergee	9 回应	2009-09-29
这里有下载地址	来自xyb	12 回应	2009-04-10
不错的一本书	来自leo		2008-10-26
看着看着, 越来越有意思了~~~	来自Иıɔʞ	2 回应	2008-10-21
怎么能买到这本书?	来自Иıɔʞ	3 回应	2008-10-20