“Miao Fan”版本间的差异
| 第61行： | 第61行： | ||
++++++++++++++++++++++++++++ | ++++++++++++++++++++++++++++ | ||
| − | Pre-mentors/advisers: [http://cs.nyu.edu/grishman/ Ralph Grishman] [http://stat.rutgers.edu/home/pingli/doc/PingLiCV.pdf Ping Li] [http://baike.baidu.com/view/9021485.htm Guoshi Wu] [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://stat.rutgers.edu/home/pingli/doc/PingLiCV.pdf Ping Li] [https://scholar.google.com.hk/citations?user=jgy4jCAAAAAJ&hl=zh-CN Haifeng Wang] [http://www.thss.tsinghua.edu.cn/publish/soft/3641/2010/20101214090035662150715/20101214090035662150715_.html Jianmin Wang][http://baike.baidu.com/view/9021485.htm Guoshi Wu] [http://cslt.riit.tsinghua.edu.cn/~fzheng/ Thomas Fang Zheng] [http://cslt.riit.tsinghua.edu.cn/~qzhou/chs/index.htm Qiang Zhou] |
Outstanding Friends: [http://dblp.uni-trier.de/pers/hd/g/Gan:Chuang Chuang Gan] [https://sites.google.com/site/wenbinghuangshomepage/ Wenbing Huang] [http://www.ruiyan.me/ Rui Yan] [http://yindawei.com Dawei Yin] [http://ir.hit.edu.cn/~zhaosq/ Shiqi Zhao] [https://www.microsoft.com/en-us/research/people/jiazhan/ Jianwen Zhang] | Outstanding Friends: [http://dblp.uni-trier.de/pers/hd/g/Gan:Chuang Chuang Gan] [https://sites.google.com/site/wenbinghuangshomepage/ Wenbing Huang] [http://www.ruiyan.me/ Rui Yan] [http://yindawei.com Dawei Yin] [http://ir.hit.edu.cn/~zhaosq/ Shiqi Zhao] [https://www.microsoft.com/en-us/research/people/jiazhan/ Jianwen Zhang] | ||
2017年8月1日 (二) 12:06的版本
[Curriculum Vitae] [个人简历] 新浪微博
++++++++++++++++++++++++++++
++++++++++++++++++++++++++++
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）
Best Ph.D. Thesis Nomination @ Tsinghua University (清华大学计算机系优秀博士毕业生；清华大学校级优秀博士论文提名：基于表示学习的知识挖掘研究) Slides of thesis defense (答辩PPT) 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）
++++++++++++++++++++++++++++
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 [勘误列表]
[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 周莫烦简易视频教程
[范淼；《Python推荐系统实战》(Recommender System in Practice with Python Programming)] Wide & Deep Learning for Recommender Systems
++++++++++++++++++++++++++++
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)
Mathematics for Computer Science
++++++++++++++++++++++++++++
Pre-mentors/advisers: Ralph Grishman Ping Li Haifeng Wang Jianmin WangGuoshi Wu Thomas Fang Zheng Qiang Zhou
Outstanding Friends: Chuang Gan Wenbing Huang Rui Yan Dawei Yin Shiqi Zhao Jianwen Zhang
