欢迎大家赞助一杯啤酒🍺 我们准备了下酒菜：Formal mathematics/Isabelle/ML, Formal verification/Coq/ACL2, C++/F#/Lisp
Weka
来自开放百科 - 灰狐
（版本间的差异）
小 (→Links) |
小 (→Links) |
||
| 第6行： | 第6行： | ||
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. | Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. | ||
| − | == | + | ==文档== |
| + | *[http://docs.huihoo.com/weka/WEKA%E5%AE%8C%E6%95%B4%E4%B8%AD%E6%96%87%E6%95%99%E7%A8%8B.pdf WEKA完整中文教程] | ||
| + | *[http://docs.huihoo.com/weka/weka.ppt Machine Learning with WEKA] | ||
| + | |||
| + | ==链接== | ||
*http://www.cs.waikato.ac.nz/~ml/ | *http://www.cs.waikato.ac.nz/~ml/ | ||
*http://sourceforge.net/projects/weka/ | *http://sourceforge.net/projects/weka/ | ||
2015年6月21日 (日) 08:20的版本
|
您可以在Wikipedia上了解到此条目的英文信息 Weka Thanks, Wikipedia. |
Weka - Open Source Data Mining
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
文档
链接
分享您的观点
