“Miao Fan”版本间的差异
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Pre-mentors/advisers: [http://cs.nyu.edu/grishman/ Ralph Grishman] [http://cslt.riit.tsinghua.edu.cn/~fzheng/ Thomas Fang Zheng] [http://cslt.riit.tsinghua.edu.cn/~qzhou/chs/index.htm Qiang Zhou] | Pre-mentors/advisers: [http://cs.nyu.edu/grishman/ Ralph Grishman] [http://cslt.riit.tsinghua.edu.cn/~fzheng/ Thomas Fang Zheng] [http://cslt.riit.tsinghua.edu.cn/~qzhou/chs/index.htm Qiang Zhou] | ||
− | Outstanding Friends: [https://sites.google.com/site/wenbinghuangshomepage/ Wenbing Huang] [http://www.ruiyan.me/ Rui Yan] [http://ir.hit.edu.cn/~zhaosq/ Shiqi Zhao] | + | Outstanding Friends: [https://sites.google.com/site/wenbinghuangshomepage/ Wenbing Huang] [https://www.microsoft.com/en-us/research/people/jiazhan/ Jianwen Zhang][http://www.ruiyan.me/ Rui Yan] [http://ir.hit.edu.cn/~zhaosq/ Shiqi Zhao] |
2016年11月3日 (四) 10:15的版本
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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)
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)
[Ph.D. Thesis (清华大学博士论文)] References(已发表的学术论文集)
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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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) 书籍样章 京东购书 源代码 (Source Codes) Github
[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] YouTube视频 [源代码(Source Codes)]
[范淼;《Python深度学习实践:探秘谷歌TensorFlow》] Google TensorFlow A Tour of TensorFlow 谷歌官方视频教程
[范淼;《Python推荐系统实战》(Recommender System in Practice with Python Programming)] Wide & Deep Learning for Recommender Systems
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Deep Learning(校对图书) 公开下载网址 Tutorial(教程) Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning
Machine Learning (Stanford University) YouTube(视频) 网易公开课视频
Mining of Massive Datasets Youtube(视频)
Reinforcement Learning: An Introduction (MIT Press)
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Pre-mentors/advisers: Ralph Grishman Thomas Fang Zheng Qiang Zhou
Outstanding Friends: Wenbing Huang Jianwen ZhangRui Yan Shiqi Zhao