| “好极了！我无法想象会有更好的方式来开始学习这些算法和方法，也没有更好的方式能让我（一个人工智能老家伙）头脑中关于它们的细节知识迅速复苏。” “Toby的书非常成功地将复杂的机器学习算法问题分解为现实而易理解的例子，可直接用于分析当前Web上的社会化交互行为。如果我在两年前拥有这《集体智慧编程（影印版）》，一定会省下大把浪费在迷途歧路上的宝贵时间”。 |
| Foreword Preface 1.Introduction to Collective Intelligence What Is Collective Intelligence? What Is Machine Learning? Limits of Machine Learning Real-Life Examples Other Uses for Learning Algorithms 2.Making Recommendations Collaborative Filtering Collecting Preferences Finding Similar Users Recommending Items Matching Products Building a del.icio.us Link Recommender Item-Based Filtering Using the MovieLens Dataset User-Based or Item-Based Filtering? Exercises 3.Discovering Groups 4.Searching and Ranking 5.Optimization 6.Document Filtering 7.Modeling with Decision Trees 8.Building Price Models 9.Advanced Classification: Kernel Methods and SVMs 10.Finding Independent Features 11.Evolving Intelligence 12.Algorithm Summary |
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