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各種書~各種ppt~更新中~ http://pan.baidu.com/s/1EaLnZ
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機器學習經典書籍小結 http://www.cnblogs.com/snake-hand/archive/2013/06/10/3131145.html
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機器學習&深度學習經典資料彙總 http://www.thebigdata.cn/JiShuBoKe/13299.html
視頻
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浙大數據挖掘系列 http://v.youku.com/v_show/id_XNTgzNDYzMjg=.html?f=2740765
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用Python做科學計算 http://www.tudou.com/listplay/fLDkg5e1pYM.html
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Hadoop視頻 http://pan.baidu.com/s/1b1xYd
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42區 . 技術 . 創業 . 第二講 http://v.youku.com/v_show/id_XMzAyMDYxODUy.html
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加州理工學院公開課:機器學習與數據挖掘 http://v.163.com/special/opencourse/learningfromdata.html
QQ羣
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機器學習&模式識別 246159753
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數據挖掘機器學習 236347059
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推薦系統 274750470
Github
推薦系統
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推薦系統開源軟件列表彙總和評點 http://in.sdo.com/?p=1707
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Mrec(Python) https://github.com/mendeley/mrec
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Crab(Python) https://github.com/muricoca/crab
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Python-recsys(Python) https://github.com/ocelma/python-recsys
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CofiRank(C++) https://github.com/markusweimer/cofirank
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GraphLab(C++) https://github.com/graphlab-code/graphlab
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EasyRec(Java) https://github.com/hernad/easyrec
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Lenskit(Java) https://github.com/grouplens/lenskit
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Mahout(Java) https://github.com/apache/mahout
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Recommendable(Ruby) https://github.com/davidcelis/recommendable
庫
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Pattern https://github.com/clips/pattern
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Pyrallel https://github.com/pydata/pyrallel
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Pylearn2 https://github.com/lisa-lab/pylearn2
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TextBlob https://github.com/sloria/TextBlob
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Langid.py https://github.com/saffsd/langid.py
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Matplotlib https://github.com/matplotlib/matplotlib
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scikit-learn https://github.com/scikit-learn/scikit-learn
博客
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Greg Linden http://glinden.blogspot.com/
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Marcel Caraciolo http://aimotion.blogspot.com/
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RsysChina http://weibo.com/p/1005051686952981
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guwendong http://www.guwendong.com
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xlvector http://xlvector.net
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free mind http://blog.pluskid.org/
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lovebingkuai http://lovebingkuai.diandian.com/
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LeftNotEasy http://www.cnblogs.com/LeftNotEasy
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LSRS 2013 http://graphlab.org/lsrs2013/program/
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Journal of Machine Learning Research http://jmlr.org/
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在線的機器學習社區 http://www.52ml.net/16336.html
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清華大學信息檢索組 http://www.thuir.cn
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我愛自然語言處理 http://www.52nlp.cn/
文章
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心中永遠的正能量 http://blog.csdn.net/yunlong34574
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機器學習最佳入門學習資料彙總 http://article.yeeyan.org/view/22139/410514
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Books for Machine Learning with R http://www.52ml.net/16312.html
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是什麼阻礙了你的機器學習目標? http://www.52ml.net/16436.htm
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推薦系統中協同過濾算法若干問題的研究 http://pan.baidu.com/s/1bnjDBYZ
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Netflix 推薦系統:第一部分 http://blog.csdn.net/bornhe/article/details/8222450
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Netflix 推薦系統:第二部分 http://blog.csdn.net/bornhe/article/details/8222497
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探索推薦引擎內部的祕密 http://www.ibm.com/developerworks/cn/web/1103_zhaoct_recommstudy1/index.html
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推薦系統resys小組線下活動見聞2009-08-22 http://www.tuicool.com/articles/vUvQVn
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Recommendation Engines Seminar Paper, Thomas Hess, 2009: 推薦引擎的總結性文章 http://www.slideshare.net/antiraum/recommender-engines-seminar-paper
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Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions, Adomavicius, G.; Tuzhilin, A., 2005 http://dl.acm.org/citation.cfm?id=1070751
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A Taxonomy of RecommenderAgents on the Internet, Montaner, M.; Lopez, B.; de la Rosa, J. L., 2003 http://www.springerlink.com/index/KK844421T5466K35.pdf
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A Course in Machine Learning http://ciml.info/
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基於mahout構建社會化推薦引擎 http://www.doc88.com/p-745821989892.html
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個性化推薦技術漫談 http://blog.csdn.net/java060515/archive/2007/04/19/1570243.aspx
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Design of Recommender System http://www.slideshare.net/rashmi/design-of-recommender-systems
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How to build a recommender system http://www.slideshare.net/blueace/how-to-build-a-recommender-system-presentation
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推薦系統架構小結 http://blog.csdn.net/idonot/article/details/7996733
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System Architectures for Personalization and Recommendation http://techblog.netflix.com/2013/03/system-architectures-for.html
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The Netflix Tech Blog http://techblog.netflix.com/
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百分點推薦引擎——從需求到架構http://www.infoq.com/cn/articles/baifendian-recommendation-engine
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推薦系統 在InfoQ上的內容 http://www.infoq.com/cn/recommend
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推薦系統實時化的實踐和思考 http://www.infoq.com/cn/presentations/recommended-system-real-time-practice-thinking
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質量保證的推薦實踐 http://www.infoq.com/cn/news/2013/10/testing-practice/
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推薦系統的工程挑戰 http://www.infoq.com/cn/presentations/Recommend-system-engineering
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社會化推薦在人人網的應用 http://www.infoq.com/cn/articles/zyy-social-recommendation-in-renren/
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利用20%時間開發推薦引擎 http://www.infoq.com/cn/presentations/twenty-percent-time-to-develop-recommendation-engine
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使用Hadoop和 Mahout實現推薦引擎 http://www.jdon.com/44747
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SVD 簡介 http://www.cnblogs.com/FengYan/archive/2012/05/06/2480664.html
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Netflix推薦系統:從評分預測到消費者法則 http://blog.csdn.net/lzt1983/article/details/7696578