这是微博上刘洋师兄推荐的:
@刘洋THU : 推荐Lisbon Machine Learning School的网站:http://t.cn/zWeSDpo。Koby Crammer、Jason Eisner、Noah Smith、Slav Petrov等横跨ML和NLP的牛人们深入浅出地介绍自然语言处理里中的机器学习算法,讲义可以免费下载。
朋友们不断贡献智慧和力量:
@算文解字: 第一届的视频在此:http://t.cn/zWe0IrV 不知道第二届视频出了没,不过课程内容跟第一届其实差不多。
@Vincent_at_MS: 我将所有的文档都下载下来打包放在微盘上,不能翻墙的同学可以下载:"Lisbon Machine Learning School.zip",http://t.cn/zWDvTSi
我看了一下其主页:http://lxmls.it.pt/2011/Home.html
其面向的听众是自然语言及计算语言学领域的研究者和学生,对统计和机器学习感兴趣的计算机工作者以及工业界的朋友:
ur target audience is:
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•Researchers and graduate students in the fields of NLP and Computational Linguistics;
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•Computer scientists who have interests in statistics and machine learning;
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•Industry practitioners who desire a more in depth understanding of these subjects.
并且假设听众的基础很少,而且会专门有一天将基础知识,包括概率,线性代数及优化方面的基础知识,以及python这样的编程语言:
Features of LxMLS:
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•No deep previous knowledge of ML or NLP is assumed;
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•Recommended reading is provided in advance;
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•Includes a strong practical component;
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•A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises;
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•Days will be divided into tutorials and practical sessions (view schedule);
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•Both basic and advanced topics are covered;
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•Instructors are leading researchers in machine learning.
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在刘洋师兄推荐的页面上有课件的下载链接及在线视频的链接,不清楚的同学,还可以点击这里:http://lxmls.it.pt/2011/Schedule.html