Toby Segaran works as a Data Magnate at Metaweb Technologies. Prior to working at Metaweb, he started a biotech software company called Incellico which was later acquired by Genstruct. His book, "Programming Collective Intelligence" has been the best-selling AI book on Amazon for several months. He is the recipient of a National Interest Waiver for "People of Exceptional Ability", and currently lives in San Francisco. His blog and other information are located at kiwitobes.com.
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. "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
##這本書的標題多多少少顯得有點怪異。那這裏主要就我個人的理解追溯一下曆史,談一談為什麼叫作“集體智慧”,說說我自己的揣測。 帶大傢迴顧一下時間背景。本書英文版齣版於2007年,黨的十七大這一年召開,北京奧運還未舉辦,網絡遊戲跑跑卡丁車廣受歡迎,電視劇《潛伏》尚未播...
評分 評分##上周50周年係慶的時候 張鈸 院士說瞭這樣一句話:”人工智能以前大多基於經驗和領域知識,直到上萬上億的數據齣現時,基於數據的人工智能更有瞭廣闊的天空。”《集體智慧》就是這樣一本告訴你如何從數據中挖掘金礦的經典之作。 由於現在所從事的是信息檢索,文本挖掘方麵的研究...
評分 評分##just open your eyes in this area, not the best solutions from trench.
評分 評分##中國有句老話,叫做“知易行難”。 作算法的朋友應該更有體會,想把 paper 上的公式轉變為可以運行的代碼,這是件考驗功力的事情。 Toby Segaran 寫的這本《Programming Collective Intelligence》,是修煉此種功力的武林秘笈之一。 這本書最顯著的特點是,實戰性極強! 針對...
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