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blog名称:IDMer (数据挖掘者) 日志总数:175 评论数量:848 留言数量:119 访问次数:2517459 建立时间:2005年6月24日 |
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“数据挖掘者”博客已经搬家,欢迎光临新博客网址:http://idmer.blog.sohu.com 我的新浪微博:@张磊IDMer |
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“机器学习与数据挖掘”(课程幻灯片) |
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数据挖掘者 发表于 2007/6/4 23:01:34 |
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摘自:http://www.slideshare.net/pierluca.lanzi/machine-learning-and-data-mining-00-course-introduction
一共19讲,更多内容参见:http://www.slideshare.net/pierluca.lanzi/slideshows
第一讲 简介
Slide 1: Course Introduction Machine Learning and Data Mining
Slide 2: Machine Learning and Data Mining 2 Prof. Pier Luca Lanzi Dipartimento di Elettronica e Informazione pierluca.lanzi@polimi.it tel. 02 23993472 http://webspace.elet.polimi.it/lanzi Office Hours Wednesday, from 15:00 until 17:00 Prof. Pier Luca Lanzi
Slide 3: Course Structure 3 Basic Introduction (24 hours) Short introduction to Data Mining and to the most relevant Machine Learning techniques that are applied in Data Mining Advaced Techniques and Applications (16 hours) Advanced Machine Learning techniques and Data Mining applications Final Project An application to real-world data Prof. Pier Luca Lanzi
Slide 4: Tecniche di Apprendimento Automatico 4 per Applicazioni di Data Mining This shorter course is covered by the first 20 hours The topics are more or less the ones covered by the previous editions Lectures are in English Final test is in Italian (in English upon request) Prof. Pier Luca Lanzi
Slide 5: Course Outline 5 Knowledge Discovery, Data Mining, and Machine Learning The representation of data and knowledge Typical Data Mining tasks Associations Clustering Classification Aggregate methods Preprocessing Advanced techniques and applications Prof. Pier Luca Lanzi
Slide 6: Evaluation 6 One written exam Course project Prof. Pier Luca Lanzi
Slide 7: Course Material 7 Lecture slides available at http://webspace.elet.polimi.it/lanzi Bibliography Jiawei Han, Micheline Kamber. “Data Mining: Concepts and Techniques” Morgan Kauffman, 2000. Tom Mitchell. “Machine Learning”, McGraw Hill 1997 Ian H. Witten, Eibe Frank. “Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations” 2nd Edition. Software Weka, http://www.cs.waikato.ac.nz/~ml/weka/ Prof. Pier Luca Lanzi
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阅读全文(8209) | 回复(5) | 编辑 | 精华 |
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回复:“机器学习与数据挖掘”(课程幻灯片) |
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成然(游客)发表评论于2007/11/19 22:09:29 |
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好东西,大家分享! |
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回复:“机器学习与数据挖掘”(课程幻灯片) |
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Rachel(游客)发表评论于2007/11/6 17:14:19 |
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从博主这里得到了不少DM的东西,顶!!! |
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回复:“机器学习与数据挖掘”(课程幻灯片) |
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abigale(游客)发表评论于2007/10/31 17:03:33 |
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好,太好了!
在学习最艰难的时候,总是在这里得到帮助!
顶!
超该顶! |
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回复:“机器学习与数据挖掘”(课程幻灯片) |
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同传设备租赁(游客)发表评论于2007/10/19 17:50:12 |
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很好。 |
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回复:“机器学习与数据挖掘”(课程幻灯片) |
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徐涵(Han Xu)发表评论于2007/6/4 23:12:03 |
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一片空白,看不到啊。貌似SWF下载比较慢
以下为blog主人的回复:
呵呵,是啊,我干脆直接给链接好了。 |
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