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| − | [[文件: MF_PIC.JPG|200px]] | + | [[文件: MF_PHOTO.jpg|180px]] |
| − | | + | [https://godfanmiao.gitee.io/homepage/ 个人主页] |
| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bd/Miao_Fan_%282015_C.V.%29.pdf Curriculum Vitae] | + | |
| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/dc/%E8%8C%83%E6%B7%BC-%E4%B8%AD%E6%96%87-%E4%B8%80%E9%A1%B5%E7%AE%80%E5%8E%86.pdf 个人简历]
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| | [http://weibo.com/fanmiaothu/ 新浪微博] | | [http://weibo.com/fanmiaothu/ 新浪微博] |
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| − | [https://scholar.google.com/citations?user=aPlHReAAAAAJ&hl=en Google Scholar（谷歌学术档案）]
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| − | [http://dblp.uni-trier.de/pers/hd/f/Fan:Miao DBLP（DBLP论文索引）]
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| − | [http://www.kaggle.com/michaelfan Kaggle Profile（Kaggle竞赛成绩）]
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| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a9/B.ENG_Dissertation_-Miao_Fan-.pdf B.Eng Dissertation （北京邮电大学本科优秀毕业设计：基于百科知识的中文自动问题生成技术的研究与系统实现）]
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| − | [https://onedrive.live.com/redir?resid=76645C25A8914A0B!8071&authkey=!AIYUeWmYlXPFWSU&ithint=file%2cpptx Ph.D. Research Proposal（清华大学博士开题报告：基于低维表示的大规模实体关系挖掘技术研究）]
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| − | [Ph.D. Thesis （清华大学博士论文）] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f2/MF_PhD_thesis_references.pdf References（已发表的学术论文集）]
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| − | [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/59/Special_talks_NYU--M.F.-.pdf Slides of NYU Special Talks（美国纽约大学授课讲义：Statistical NLP: A Machine Learning Perspective）]
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| − | [https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 范淼、李超；《Python机器学习及实践：从零开始通往Kaggle竞赛之路》; 清华大学出版社 (Tsinghua University Press)] [http://www.tup.tsinghua.edu.cn/upload/books/yz/069392-01.pdf 书籍样章][https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 京东购书] [http://pan.baidu.com/s/1bGp15G 源代码 (Source Codes)] [https://git.coding.net/fanmiao_thu/Python_ML_and_Kaggle.git Github]
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| − | [范淼；《PySpark 2.0 分布式机器学习与大数据分析》 ；清华大学出版社 (Tsinghua University Press) 计划出版] [https://www.youtube.com/playlist?list=PL-x35fyliRwhDv3g1dae8v2F6-_bzBfGK YouTube视频] [源代码（Source Codes）]
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| − | [范淼；《Python深度学习实践：探秘谷歌Tensorflow》] [https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning]
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| − | [范淼；《Python推荐系统实战》(Recommender System in Practice with Python Programming)]
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| − | [http://www.deeplearningbook.org/contents/acknowledgements.html Deep Learning（校对图书）] [http://www.deeplearningbook.org 公开下载网址] [http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial Tutorial(教程)] [https://www.tensorflow.org/ Google TensorFlow]
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| − | [http://cs229.stanford.edu/materials.html Machine Learning (Stanford University)] [https://www.youtube.com/playlist?list=PLC5F94EBABE15D569 YouTube（视频）] [http://open.163.com/special/opencourse/machinelearning.html 网易公开课视频]
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| − | [http://mmds.org/ Mining of Massive Datasets] [https://www.youtube.com/channel/UC_Oao2FYkLAUlUVkBfze4jg Youtube（视频）]
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| − | [http://spark.apache.org/docs/latest/api/python/index.html PySpark 2.x] [https://www.youtube.com/playlist?list=PL-x35fyliRwhDv3g1dae8v2F6-_bzBfGK YouTube视频] [https://www.gitbook.com/book/jaceklaskowski/mastering-apache-spark/details 参考文档]
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| − | [https://webdocs.cs.ualberta.ca/~sutton/book/bookdraft2016sep.pdf Reinforcement Learning: An Introduction (MIT Press)]
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| − | Outstanding Friends: [https://sites.google.com/site/wenbinghuangshomepage/ Wenbing Huang] [http://www.yindawei.com/ Dawei Yin]
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