Programming Collective Intelligence: Building Smart Web 2.0 Applications
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...
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This book introduces Web developers to the advanced topic of machine learning and statistics in a clear and concise way, with easy-to-follow examples and code that can be used in their own applications.
Praise for Programming Collective IntelligencePrefaceChapter 1: Introduction to Collective IntelligenceChapter 2: Making RecommendationsChapter 3: Discovering GroupsChapter 4: Searching and RankingChapter 5: OptimizationChapter 6: Document FilteringChapter 7: Modeling with Decision TreesChapter 8: Building Price ModelsChapter 9: Advanced Classification: Kernel Methods and SVMsChapter 10: Finding Independent FeaturesChapter 11: EVOLVING INTELLIGENCEChapter 12: Algorithm SummaryThird-Party LibrariesMathematical FormulasColophonToby Segaran is the author of Programming Collective Intelligence, a very popular O'Reilly title. He was the founder of Incellico, a biotech software company later acquired by Genstruct. He currently holds the title of Data Magnate at Metaweb Technologies and is a frequent speaker at technology conferences.
