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Programming Collective Intelligence: Building Smart Web 2.0 Applications

Posted on 2010-03-15




Name:Programming Collective Intelligence: Building Smart Web 2.0 Applications
ASIN/ISBN:0596529325
Language:English
File size:2.5 Mb
Publisher: O'Reilly
Publish Date: 2007-08-16
ISBN: 0596529325
Pages: 360 Pages
File Type: PDF
File Size: 2.5 MB
   Programming Collective Intelligence: Building Smart Web 2.0 Applications

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Toby Segaran, ""

Buy Book at Lowest Price on Amazon

& 8220;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.

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
& 8221;


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