一亩三分地论坛

 找回密码
 获取更多干货,去instant注册!

扫码关注一亩三分地公众号
查看: 474|回复: 3
收起左侧

[背景提升] 该不该选Data and Knowledge Modeling and Analysis这门课?

[复制链接] |试试Instant~ |关注本帖
topnessman 发表于 2016-1-11 22:17:57 | 显示全部楼层 |阅读模式

注册一亩三分地论坛,查看更多干货!

您需要 登录 才可以下载或查看,没有帐号?获取更多干货,去instant注册!

x
这门课是学校一个搞AI,ML的老师开的课。不知道和machine learning有多大的关系?project要用到matlab/python/R. 如果有了解的同学,可以说一下上这门课价值大不大吗?先在此谢过!!.鐣欏璁哄潧-涓浜-涓夊垎鍦
Course Description. 1point 3acres 璁哄潧

Engineers encounter data in many of their tasks. Whether the sources of this data may be experiments, databases, computer files, or the Internet, there is a dire need for effective methods to model and analyze the data and extract useful knowledge and information from it. This course aims to provide engineering graduate students with essential knowledge of data representation, grouping, mining and knowledge discovery.
. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
Major Topics. from: 1point3acres.com/bbs

Data types, sources, nature, scales and distributions
Data representations, transformation, dimensionality reduction and normalization
Classification: Statistical based, Distance based, Decision based.
Clustering: Partition-based, Hierarchical, Model and Density based, others.
Retrieval and Mining: Similarity measures and matching techniques.
Knowledge discovery in data: Association rules mining, web mining, text mining.
Performance measures and tools: Statistical Analysis, Validity and Assessment Measures.
kenethe 发表于 2016-1-11 23:45:20 | 显示全部楼层
个人认为非常有用,值得一上
回复 支持 反对

使用道具 举报

ann_good2005 发表于 2016-1-12 09:41:50 | 显示全部楼层
跟ML的基础原理相关的内容不多
感觉更偏向数据挖掘
我觉得很有用
回复 支持 反对

使用道具 举报

 楼主| topnessman 发表于 2016-1-12 10:55:58 | 显示全部楼层
感谢楼上的两位啊!
回复 支持 反对

使用道具 举报

本版积分规则

请点这里访问我们的新网站:一亩三分地Instant.

Instant搜索更强大,不扣积分,内容组织的更好更整洁!目前仍在beta版本,努力完善中!反馈请点这里

关闭

一亩三分地推荐上一条 /5 下一条

手机版|小黑屋|一亩三分地论坛声明 ( 沪ICP备11015994号 )

custom counter

GMT+8, 2016-12-6 01:46

Powered by Discuz! X3

© 2001-2013 Comsenz Inc. Design By HUXTeam

快速回复 返回顶部 返回列表