| 作 者： | 西格兰 |
| 出版社： | 东南大学出版社 |
| 丛编项： | |
| 版权说明： | 本书为出版图书，暂不支持在线阅读，请支持正版图书 |
| 标 签： | 程序设计 |
| ISBN | 出版时间 | 包装 | 开本 | 页数 | 字数 |
|---|---|---|---|---|---|
| 未知 | 暂无 | 暂无 | 未知 | 0 | 暂无 |
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
