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Programming Collective Intelligence: Building Smart Web 2.0 Applications

(c) by O'Reilly Media, Inc.

The type of the release is: eBook

In the PDF format with ISBN: 0596529325 and Pub Date: August 16, 2007

The size of the release is: 02 disks x 1.44mb

And released on: 10/24/2007

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

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

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