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

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  Programming Collective Intelligence - Building Smart Web 2 0 Applications~tqw~ darksiderg
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  *******************************************************************************<br /> Programming Collective Intelligence: Building Smart Web 2.0 Applications<br /> *******************************************************************************<br /> <br /> -------------------------------------------------------------------------------<br /> General Information<br /> -------------------------------------------------------------------------------<br /> Type.................: Ebook<br /> Part Size............: 3,462,755 bytes<br /> <br /> <br /> <br /> <br /> -------------------------------------------------------------------------------<br /> Post Information<br /> -------------------------------------------------------------------------------<br /> Posted by............: ~tqw~<br /> <br /> -------------------------------------------------------------------------------<br /> Release Notes<br /> -------------------------------------------------------------------------------<br /> This fascinating book demonstrates how you can build web applications to mine <br /> the enormous amount of data created by people on the Internet. With the <br /> sophisticated algorithms in this book, you can write smart programs to access <br /> interesting datasets from other web sites, collect data from users of your own <br /> applications, and analyze and understand the data once you've found it.<br /> Full Description<br /> Want to tap the power behind search rankings, product recommendations, social <br /> bookmarking, and online matchmaking? This fascinating book demonstrates how you <br /> can build Web 2.0 applications to mine the enormous amount of data created by <br /> people on the Internet. With the sophisticated algorithms in this book, you can <br /> write smart programs to access interesting datasets from other web sites, <br /> collect data from users of your own applications, and analyze and understand the <br /> data once you've found it.<br /> <br /> Programming Collective Intelligence takes you into the world of machine learning <br /> and statistics, and explains how to draw conclusions about user experience, <br /> marketing, personal tastes, and human behavior in general -- all from <br /> information that you and others collect every day. Each algorithm is described <br /> clearly and concisely with code that can immediately be used on your web site, <br /> blog, Wiki, or specialized application. This book explains:<br /> <br /> * Collaborative filtering techniques that enable online retailers to <br /> recommend products or media<br /> * Methods of clustering to detect groups of similar items in a large dataset<br /> * Search engine features -- crawlers, indexers, query engines, and the <br /> PageRank algorithm<br /> * Optimization algorithms that search millions of possible solutions to a <br /> problem and choose the best one<br /> * Bayesian filtering, used in spam filters for classifying documents based <br /> on word types and other features<br /> * Using decision trees not only to make predictions, but to model the way <br /> decisions are made<br /> * Predicting numerical values rather than classifications to build price <br /> models<br /> * Support vector machines to match people in online dating sites<br /> * Non-negative matrix factorization to find the independent features in a <br /> dataset<br /> * Evolving intelligence for problem solving -- how a computer develops its <br /> skill by improving its own code the more it plays a game<br /> <br /> Each chapter includes exercises for extending the algorithms to make them more <br /> powerful. Go beyond simple database-backed applications and put the wealth of <br /> Internet data to work for you.<br /> <br /> Table Of Contents<br /> <br /> Preface xiii<br /> Chapter 1. Introduction to Collective Intelligence 1<br /> Chapter 2. Making Recommendations 7<br /> Chapter 3. Discovering Groups 29<br /> Chapter 4. Searching and Ranking 54<br /> Chapter 5. Optimization 86<br /> Chapter 6. Document Filtering 117<br /> Chapter 7. Modeling with Decision Trees 142<br /> Chapter 8. Building Price Models 167<br /> Chapter 9. Advanced Classification: Kernel Methods and SVMs 197<br /> Chapter 10. Finding Independent Features 226<br /> Chapter 11. Evolving Intelligence 250<br /> Chapter 12. Algorithm Summary 277<br /> A. Third-Party Libraries 309<br /> B. Mathematical Formulas 316<br /> Index 323<br /> <br /> Product Details<br /> <br /> * ISBN: 0596529325<br /> * ISBN-13: 9780596529321<br /> * Format: Paperback, 334pp<br /> * Publisher: O'Reilly Media, Incorporated<br /> * Pub. Date: August 2007<br /> <br /> -------------------------------------------------------------------------------<br /> Install Notes<br /> -------------------------------------------------------------------------------<br /> Adobe Acrobat Reader<br />
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