useful resourses

Useful resources

（以下是一些有用的帮助文件，欢迎补充）

Here are some general resources that you may find useful for a further study.  This list is by no means complete.  We welcome additional suggestions through the appropriate discussion thread. 

（一些其他的在线课程和指导）

Some other on-line classes and tutorials in this arena（舞台，竞技场）:

• Yaser Abu-Mostafa's Caltech class "Learning From Data" “学习数据”
• Andrew's Moore statistics and data mining tutorial摩尔统计和数据挖掘教程
• Bill Howe's "Introduction to Data Science" class on Coursera数据科学概论”课
• JHU's Data Sciences classes on Coursera JHU数据科学类
• Courses offered at IACS at Harvard
• KDnuggets has a good list

（一般项目/科学数据资源:）

General e-Science / Data Science resources:

• "The Fourth Paradigm" (free book download from Microsoft Research) 第四范式”
• Gregory Piatetsky-Shapiro's KDNuggets
• Andy Pryke's The Data Mine
• Fionn Murtagh's Multivariate Data Analysis Software and Resources多元数据分析软件和资源

（数据挖掘和机器学习书籍:）

Books on Data Mining and Machine Learning:

• "Data Mining - Concepts and Techniques", J. Han & M. Kamber, MK
• "Neural Networks for Pattern Recognition", C.M. Bishop, Oxford University Press
• "Pattern Recognition and Machine Learning", C.M. Bishop
• "The Elements of Statistical Learning", T. Hastie, R. Tibshirani J. Friedman, 2009, free download
• "Introduction to Information Retrieval", Christopher D. Manning, Prabhakar Raghavan & Hinrich Schütze, 2008, Cambridge University Press
• "Gaussian Processes for Machine Learning", Carl Edward Rasmussen and Christopher K. I. Williams, The MIT Press, 2006: free download
• "Tika in Action", Mattmann & Zitting, Manning Publications, 2011, 256 pages.

（Web服务和独立的应用程序:）

Web Services and standalone applications:

• DAME (DAta Mining and Exploration)
• Weka (Data mining software in Java)
• Orange (open source data analysis and visualization)
• VOStat (Virtual Observatory statistics web services): Penn State version, VO India version

（编程语言和DM库:）

Programming Languages and DM Libraries:

• R: Official Manuals, Advanced R programming, R-Inferno (book download), R-studio
• Matlab: Official Documentation, SOM Toolbox, Bayesian Net Toolbox for Matlab, Netlab
• Other Libraries: Sci-kit Learn (Python), FANN, LibSVM