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Programming Collective Intelligence Building Smart Web 2 0 Applications~tqw~ darksiderg

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Name:Programming Collective Intelligence Building Smart Web 2 0 Applications~tqw~ darksiderg

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Programming Collective Intelligence: Building Smart Web 2.0 Applications
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General Information
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Type.................: Ebook
Part Size............: 3,462,755 bytes




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Post Information
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Posted by............: ~tqw~

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Release Notes
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This fascinating book demonstrates how you can build web 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.
Full Description
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.

Table Of Contents

Preface xiii
Chapter 1. Introduction to Collective Intelligence 1
Chapter 2. Making Recommendations 7
Chapter 3. Discovering Groups 29
Chapter 4. Searching and Ranking 54
Chapter 5. Optimization 86
Chapter 6. Document Filtering 117
Chapter 7. Modeling with Decision Trees 142
Chapter 8. Building Price Models 167
Chapter 9. Advanced Classification: Kernel Methods and SVMs 197
Chapter 10. Finding Independent Features 226
Chapter 11. Evolving Intelligence 250
Chapter 12. Algorithm Summary 277
A. Third-Party Libraries 309
B. Mathematical Formulas 316
Index 323

Product Details

* ISBN: 0596529325
* ISBN-13: 9780596529321
* Format: Paperback, 334pp
* Publisher: O'Reilly Media, Incorporated
* Pub. Date: August 2007

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